https://github.com/hindupuravinash/the-gan-zoo
|
Year |
Month |
Abbr. |
Title |
Arxiv |
Official_Code |
Watches |
|
|
2014 |
6 |
GAN |
Generative Adversarial Networks |
https://arxiv.org/abs/1406.2661 |
https://github.com/goodfeli/adversarial |
|
|
2014 |
11 |
CGAN |
Conditional Generative Adversarial Nets |
https://arxiv.org/abs/1411.1784 |
– |
|
|
2015 |
6 |
LAPGAN |
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks |
https://arxiv.org/abs/1506.05751 |
https://github.com/facebook/eyescream |
|
|
2015 |
11 |
CatGAN |
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks |
https://arxiv.org/abs/1511.06390v2 |
– |
|
|
2015 |
11 |
DCGAN |
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks |
https://arxiv.org/abs/1511.06434 |
https://github.com/Newmu/dcgan_code |
|
|
2015 |
12 |
VAE-GAN |
Autoencoding beyond pixels using a learned similarity metric |
https://arxiv.org/abs/1512.09300 |
– |
|
|
2016 |
2 |
GRAN |
Generating images with recurrent adversarial networks |
https://arxiv.org/abs/1602.05110 |
https://github.com/jiwoongim/GRAN |
|
|
2016 |
3 |
S^2GAN |
Generative Image Modeling using Style and Structure Adversarial Networks |
https://arxiv.org/abs/1603.05631v2 |
– |
|
|
2016 |
4 |
MGAN |
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks |
https://arxiv.org/abs/1604.04382 |
https://github.com/chuanli11/MGANs |
|
|
2016 |
5 |
BiGAN |
Adversarial Feature Learning |
https://arxiv.org/abs/1605.09782v7 |
– |
|
|
2016 |
5 |
GAN-CLS |
Generative Adversarial Text to Image Synthesis |
https://arxiv.org/abs/1605.05396 |
https://github.com/reedscot/icml2016 |
|
|
2016 |
6 |
ALI |
Adversarially Learned Inference |
https://arxiv.org/abs/1606.00704 |
https://github.com/IshmaelBelghazi/ALI |
|
|
2016 |
6 |
CoGAN |
Coupled Generative Adversarial Networks |
https://arxiv.org/abs/1606.07536v2 |
– |
|
|
2016 |
6 |
f-GAN |
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization |
https://arxiv.org/abs/1606.00709 |
– |
|
|
2016 |
6 |
Improved GAN |
Improved Techniques for Training GANs |
https://arxiv.org/abs/1606.03498 |
https://github.com/openai/improved-gan |
|
|
2016 |
6 |
InfoGAN |
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets |
https://arxiv.org/abs/1606.03657v1 |
https://github.com/openai/InfoGAN |
|
|
2016 |
7 |
SketchGAN |
Adversarial Training For Sketch Retrieval |
https://arxiv.org/abs/1607.02748 |
– |
|
|
2016 |
9 |
Context-RNN-GAN |
Contextual RNN-GANs for Abstract Reasoning Diagram Generation |
https://arxiv.org/abs/1609.09444 |
– |
|
|
2016 |
9 |
EBGAN |
Energy-based Generative Adversarial Network |
https://arxiv.org/abs/1609.03126v4 |
– |
|
|
2016 |
9 |
IAN |
Neural Photo Editing with Introspective Adversarial Networks |
https://arxiv.org/abs/1609.07093 |
https://github.com/ajbrock/Neural-Photo-Editor |
|
|
2016 |
9 |
iGAN |
Generative Visual Manipulation on the Natural Image Manifold |
https://arxiv.org/abs/1609.03552v2 |
https://github.com/junyanz/iGAN |
|
|
2016 |
9 |
SeqGAN |
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient |
https://arxiv.org/abs/1609.05473v5 |
https://github.com/LantaoYu/SeqGAN |
|
|
2016 |
9 |
SRGAN |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network |
https://arxiv.org/abs/1609.04802 |
– |
|
|
2016 |
9 |
VGAN |
Generating Videos with Scene Dynamics |
https://arxiv.org/abs/1609.02612 |
https://github.com/cvondrick/videogan |
|
|
2016 |
10 |
3D-GAN |
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling |
https://arxiv.org/abs/1610.07584 |
https://github.com/zck119/3dgan-release |
|
|
2016 |
10 |
AC-GAN |
Conditional Image Synthesis With Auxiliary Classifier GANs |
https://arxiv.org/abs/1610.09585 |
– |
|
|
2016 |
10 |
AffGAN |
Amortised MAP Inference for Image Super-resolution |
https://arxiv.org/abs/1610.04490 |
– |
|
|
2016 |
10 |
GAWWN |
Learning What and Where to Draw |
https://arxiv.org/abs/1610.02454 |
https://github.com/reedscot/nips2016 |
|
|
2016 |
11 |
b-GAN |
Generative Adversarial Nets from a Density Ratio Estimation Perspective |
https://arxiv.org/abs/1610.02920 |
– |
|
|
2016 |
11 |
C-RNN-GAN |
C-RNN-GAN: Continuous recurrent neural networks with adversarial training |
https://arxiv.org/abs/1611.09904 |
https://github.com/olofmogren/c-rnn-gan/ |
|
|
2016 |
11 |
CC-GAN |
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks |
https://arxiv.org/abs/1611.06430 |
https://github.com/edenton/cc-gan |
|
|
2016 |
11 |
DTN |
Unsupervised Cross-Domain Image Generation |
https://arxiv.org/abs/1611.02200 |
– |
|
|
2016 |
11 |
GMAN |
Generative Multi-Adversarial Networks |
http://arxiv.org/abs/1611.01673 |
– |
|
|
2016 |
11 |
IcGAN |
Invertible Conditional GANs for image editing |
https://arxiv.org/abs/1611.06355 |
https://github.com/Guim3/IcGAN |
|
|
2016 |
11 |
LSGAN |
Least Squares Generative Adversarial Networks |
https://arxiv.org/abs/1611.04076v3 |
– |
|
|
2016 |
11 |
MV-BiGAN |
Multi-view Generative Adversarial Networks |
https://arxiv.org/abs/1611.02019v1 |
– |
|
|
2016 |
11 |
pix2pix |
Image-to-Image Translation with Conditional Adversarial Networks |
https://arxiv.org/abs/1611.07004 |
https://github.com/phillipi/pix2pix |
|
|
2016 |
11 |
RenderGAN |
RenderGAN: Generating Realistic Labeled Data |
https://arxiv.org/abs/1611.01331 |
– |
|
|
2016 |
11 |
SAD-GAN |
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks |
https://arxiv.org/abs/1611.08788v1 |
– |
|
|
2016 |
11 |
SGAN |
Texture Synthesis with Spatial Generative Adversarial Networks |
https://arxiv.org/abs/1611.08207 |
– |
|
|
2016 |
11 |
SSL-GAN |
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks |
https://arxiv.org/abs/1611.06430v1 |
– |
|
|
2016 |
11 |
TGAN |
Temporal Generative Adversarial Nets |
https://arxiv.org/abs/1611.06624v1 |
– |
|
|
2016 |
11 |
Unrolled GAN |
Unrolled Generative Adversarial Networks |
https://arxiv.org/abs/1611.02163 |
https://github.com/poolio/unrolled_gan |
|
|
2016 |
11 |
VGAN |
Generative Adversarial Networks as Variational Training of Energy Based Models |
https://arxiv.org/abs/1611.01799 |
https://github.com/Shuangfei/vgan |
|
|
2016 |
12 |
AL-CGAN |
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts |
https://arxiv.org/abs/1612.00215 |
– |
|
|
2016 |
12 |
MARTA-GAN |
Deep Unsupervised Representation Learning for Remote Sensing Images |
https://arxiv.org/abs/1612.08879 |
– |
|
|
2016 |
12 |
MDGAN |
Mode Regularized Generative Adversarial Networks |
https://arxiv.org/abs/1612.02136 |
– |
|
|
2016 |
12 |
MPM-GAN |
Message Passing Multi-Agent GANs |
https://arxiv.org/abs/1612.01294 |
– |
|
|
2016 |
12 |
PPGN |
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space |
https://arxiv.org/abs/1612.00005 |
– |
|
|
2016 |
12 |
PrGAN |
3D Shape Induction from 2D Views of Multiple Objects |
https://arxiv.org/abs/1612.05872 |
– |
|
|
2016 |
12 |
SGAN |
Stacked Generative Adversarial Networks |
https://arxiv.org/abs/1612.04357v4 |
https://github.com/xunhuang1995/SGAN |
|
|
2016 |
12 |
SimGAN |
Learning from Simulated and Unsupervised Images through Adversarial Training |
https://arxiv.org/abs/1612.07828 |
– |
|
|
2016 |
12 |
StackGAN |
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks |
https://arxiv.org/abs/1612.03242v1 |
https://github.com/hanzhanggit/StackGAN |
|
|
2016 |
12 |
textGAN |
Generating Text via Adversarial Training |
https://zhegan27.github.io/Papers/textGAN_nips2016_workshop.pdf |
– |
|
|
2017 |
1 |
AdaGAN |
AdaGAN: Boosting Generative Models |
https://arxiv.org/abs/1701.02386v1 |
– |
|
|
2017 |
1 |
ID-CGAN |
Image De-raining Using a Conditional Generative Adversarial Network |
https://arxiv.org/abs/1701.05957v3 |
– |
|
|
2017 |
1 |
LAGAN |
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis |
https://arxiv.org/abs/1701.05927 |
– |
|
|
2017 |
1 |
LS-GAN |
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities |
https://arxiv.org/abs/1701.06264 |
– |
|
|
2017 |
1 |
SalGAN |
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks |
https://arxiv.org/abs/1701.01081 |
https://github.com/imatge-upc/saliency-salgan-2017 |
|
|
2017 |
1 |
Unim2im |
Unsupervised Image-to-Image Translation with Generative Adversarial Networks |
https://arxiv.org/abs/1701.02676 |
http://github.com/zsdonghao/Unsup-Im2Im |
|
|
2017 |
1 |
ViGAN |
Image Generation and Editing with Variational Info Generative Adversarial Networks |
https://arxiv.org/abs/1701.04568v1 |
– |
|
|
2017 |
1 |
WGAN |
Wasserstein GAN |
https://arxiv.org/abs/1701.07875v2 |
https://github.com/martinarjovsky/WassersteinGAN |
|
|
2017 |
2 |
acGAN |
Face Aging With Conditional Generative Adversarial Networks |
https://arxiv.org/abs/1702.01983 |
– |
|
|
2017 |
2 |
ArtGAN |
ArtGAN: Artwork Synthesis with Conditional Categorial GANs |
https://arxiv.org/abs/1702.03410 |
– |
|
|
2017 |
2 |
Bayesian GAN |
Deep and Hierarchical Implicit Models |
https://arxiv.org/abs/1702.08896 |
– |
|
|
2017 |
2 |
BS-GAN |
Boundary-Seeking Generative Adversarial Networks |
https://arxiv.org/abs/1702.08431v1 |
– |
|
|
2017 |
2 |
MalGAN |
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN |
https://arxiv.org/abs/1702.05983v1 |
– |
|
|
2017 |
2 |
MaliGAN |
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks |
https://arxiv.org/abs/1702.07983 |
– |
|
|
2017 |
2 |
McGAN |
McGan: Mean and Covariance Feature Matching GAN |
https://arxiv.org/abs/1702.08398v1 |
– |
|
|
2017 |
2 |
ST-GAN |
Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently |
https://arxiv.org/abs/1702.06762 |
– |
|
|
2017 |
2 |
WaterGAN |
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images |
https://arxiv.org/abs/1702.07392v1 |
– |
|
|
2017 |
3 |
AEGAN |
Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets |
https://arxiv.org/abs/1703.10094 |
– |
|
|
2017 |
3 |
AM-GAN |
Activation Maximization Generative Adversarial Nets |
https://arxiv.org/abs/1703.02000 |
– |
|
|
2017 |
3 |
AnoGAN |
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery |
https://arxiv.org/abs/1703.05921v1 |
– |
|
|
2017 |
3 |
BEGAN |
BEGAN: Boundary Equilibrium Generative Adversarial Networks |
https://arxiv.org/abs/1703.10717 |
– |
|
|
2017 |
3 |
CS-GAN |
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets |
https://arxiv.org/abs/1703.04887 |
– |
|
|
2017 |
3 |
CVAE-GAN |
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training |
https://arxiv.org/abs/1703.10155 |
– |
|
|
2017 |
3 |
CycleGAN |
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks |
https://arxiv.org/abs/1703.10593 |
https://github.com/junyanz/CycleGAN |
|
|
2017 |
3 |
DiscoGAN |
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks |
https://arxiv.org/abs/1703.05192v1 |
– |
|
|
2017 |
3 |
GP-GAN |
GP-GAN: Towards Realistic High-Resolution Image Blending |
https://arxiv.org/abs/1703.07195 |
https://github.com/wuhuikai/GP-GAN |
|
|
2017 |
3 |
LR-GAN |
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation |
https://arxiv.org/abs/1703.01560v1 |
– |
|
|
2017 |
3 |
MedGAN |
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks |
https://arxiv.org/abs/1703.06490v1 |
– |
|
|
2017 |
3 |
MIX+GAN |
Generalization and Equilibrium in Generative Adversarial Nets (GANs) |
https://arxiv.org/abs/1703.00573v3 |
– |
|
|
2017 |
3 |
RTT-GAN |
Recurrent Topic-Transition GAN for Visual Paragraph Generation |
https://arxiv.org/abs/1703.07022v2 |
– |
|
|
2017 |
3 |
SEGAN |
SEGAN: Speech Enhancement Generative Adversarial Network |
https://arxiv.org/abs/1703.09452v1 |
– |
|
|
2017 |
3 |
SeGAN |
SeGAN: Segmenting and Generating the Invisible |
https://arxiv.org/abs/1703.10239 |
– |
|
|
2017 |
3 |
SGAN |
Steganographic Generative Adversarial Networks |
https://arxiv.org/abs/1703.05502 |
– |
|
|
2017 |
3 |
TAC-GAN |
TAC-GAN – Text Conditioned Auxiliary Classifier Generative Adversarial Network |
https://arxiv.org/abs/1703.06412v2 |
https://github.com/dashayushman/TAC-GAN |
|
|
2017 |
3 |
Triple-GAN |
Triple Generative Adversarial Nets |
https://arxiv.org/abs/1703.02291v2 |
– |
|
|
2017 |
3 |
UNIT |
Unsupervised Image-to-image Translation Networks |
https://arxiv.org/abs/1703.00848 |
https://github.com/mingyuliutw/UNIT |
|
|
2017 |
4 |
DualGAN |
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation |
https://arxiv.org/abs/1704.02510v1 |
– |
|
|
2017 |
4 |
FF-GAN |
Towards Large-Pose Face Frontalization in the Wild |
https://arxiv.org/abs/1704.06244 |
– |
|
|
2017 |
4 |
GoGAN |
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking |
https://arxiv.org/abs/1704.04865 |
– |
|
|
2017 |
4 |
MAD-GAN |
Multi-Agent Diverse Generative Adversarial Networks |
https://arxiv.org/abs/1704.02906 |
– |
|
|
2017 |
4 |
MAGAN |
MAGAN: Margin Adaptation for Generative Adversarial Networks |
https://arxiv.org/abs/1704.03817v1 |
– |
|
|
2017 |
4 |
SL-GAN |
Semi-Latent GAN: Learning to generate and modify facial images from attributes |
https://arxiv.org/abs/1704.02166 |
– |
|
|
2017 |
4 |
Softmax GAN |
Softmax GAN |
https://arxiv.org/abs/1704.06191 |
– |
|
|
2017 |
4 |
TAN |
Outline Colorization through Tandem Adversarial Networks |
https://arxiv.org/abs/1704.08834 |
– |
|
|
2017 |
4 |
TP-GAN |
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis |
https://arxiv.org/abs/1704.04086 |
– |
|
|
2017 |
4 |
VariGAN |
Multi-View Image Generation from a Single-View |
https://arxiv.org/abs/1704.04886 |
– |
|
|
2017 |
4 |
VAW-GAN |
Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks |
https://arxiv.org/abs/1704.00849 |
– |
|
|
2017 |
4 |
WGAN-GP |
Improved Training of Wasserstein GANs |
https://arxiv.org/abs/1704.00028 |
https://github.com/igul222/improved_wgan_training |
|
|
2017 |
4 |
β-GAN |
Annealed Generative Adversarial Networks |
https://arxiv.org/abs/1705.07505 |
– |
|
|
2017 |
5 |
Bayesian GAN |
Bayesian GAN |
https://arxiv.org/abs/1705.09558 |
https://github.com/andrewgordonwilson/bayesgan/ |
|
|
2017 |
5 |
CaloGAN |
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks |
https://arxiv.org/abs/1705.02355 |
https://github.com/hep-lbdl/CaloGAN |
|
|
2017 |
5 |
Conditional cycleGAN |
Conditional CycleGAN for Attribute Guided Face Image Generation |
https://arxiv.org/abs/1705.09966 |
– |
|
|
2017 |
5 |
Cramèr GAN |
The Cramer Distance as a Solution to Biased Wasserstein Gradients |
https://arxiv.org/abs/1705.10743 |
– |
|
|
2017 |
5 |
DR-GAN |
Representation Learning by Rotating Your Faces |
https://arxiv.org/abs/1705.11136 |
– |
|
|
2017 |
5 |
DRAGAN |
How to Train Your DRAGAN |
https://arxiv.org/abs/1705.07215 |
https://github.com/kodalinaveen3/DRAGAN |
|
|
2017 |
5 |
ED//GAN |
Stabilizing Training of Generative Adversarial Networks through Regularization |
https://arxiv.org/abs/1705.09367 |
– |
|
|
2017 |
5 |
EGAN |
Enhanced Experience Replay Generation for Efficient Reinforcement Learning |
https://arxiv.org/abs/1705.08245 |
– |
|
|
2017 |
5 |
Fisher GAN |
Fisher GAN |
https://arxiv.org/abs/1705.09675 |
– |
|
|
2017 |
5 |
Flow-GAN |
Flow-GAN: Bridging implicit and prescribed learning in generative models |
https://arxiv.org/abs/1705.08868 |
– |
|
|
2017 |
5 |
GeneGAN |
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data |
https://arxiv.org/abs/1705.04932 |
https://github.com/Prinsphield/GeneGAN |
|
|
2017 |
5 |
Geometric GAN |
Geometric GAN |
https://arxiv.org/abs/1705.02894 |
– |
|
|
2017 |
5 |
IRGAN |
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models |
https://arxiv.org/abs/1705.10513v1 |
– |
|
|
2017 |
5 |
MMD-GAN |
MMD GAN: Towards Deeper Understanding of Moment Matching Network |
https://arxiv.org/abs/1705.08584 |
https://github.com/dougalsutherland/opt-mmd |
|
|
2017 |
5 |
ORGAN |
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models |
https://arxiv.org/abs/1705.10843 |
– |
|
|
2017 |
5 |
Pose-GAN |
The Pose Knows: Video Forecasting by Generating Pose Futures |
https://arxiv.org/abs/1705.00053 |
– |
|
|
2017 |
5 |
PSGAN |
Learning Texture Manifolds with the Periodic Spatial GAN |
http://arxiv.org/abs/1705.06566 |
– |
|
|
2017 |
5 |
RankGAN |
Adversarial Ranking for Language Generation |
https://arxiv.org/abs/1705.11001 |
– |
|
|
2017 |
5 |
RPGAN |
Stabilizing GAN Training with Multiple Random Projections |
https://arxiv.org/abs/1705.07831 |
https://github.com/ayanc/rpgan |
|
|
2017 |
5 |
RWGAN |
Relaxed Wasserstein with Applications to GANs |
https://arxiv.org/abs/1705.07164 |
– |
|
|
2017 |
5 |
SBADA-GAN |
From source to target and back: symmetric bi-directional adaptive GAN |
https://arxiv.org/abs/1705.08824 |
– |
|
|
2017 |
5 |
SD-GAN |
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks |
https://arxiv.org/abs/1705.07904 |
– |
|
|
2017 |
5 |
VEEGAN |
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning |
https://arxiv.org/abs/1705.07761 |
https://github.com/akashgit/VEEGAN |
|
|
2017 |
5 |
WS-GAN |
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction |
https://arxiv.org/abs/1705.10904 |
– |
|
|
2017 |
6 |
ARAE |
Adversarially Regularized Autoencoders for Generating Discrete Structures |
https://arxiv.org/abs/1706.04223 |
https://github.com/jakezhaojb/ARAE |
|
|
2017 |
6 |
BCGAN |
Bayesian Conditional Generative Adverserial Networks |
https://arxiv.org/abs/1706.05477 |
– |
|
|
2017 |
6 |
CAN |
CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms |
https://arxiv.org/abs/1706.07068 |
– |
|
|
2017 |
6 |
Chekhov GAN |
An Online Learning Approach to Generative Adversarial Networks |
https://arxiv.org/abs/1706.03269 |
– |
|
|
2017 |
6 |
crVAE-GAN |
Channel-Recurrent Variational Autoencoders |
https://arxiv.org/abs/1706.03729 |
– |
|
|
2017 |
6 |
DeliGAN |
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data |
https://arxiv.org/abs/1706.02071 |
https://github.com/val-iisc/deligan |
|
|
2017 |
6 |
DistanceGAN |
One-Sided Unsupervised Domain Mapping |
https://arxiv.org/abs/1706.00826 |
– |
|
|
2017 |
6 |
DSP-GAN |
Depth Structure Preserving Scene Image Generation |
https://arxiv.org/abs/1706.00212 |
– |
|
|
2017 |
6 |
Dualing GAN |
Dualing GANs |
https://arxiv.org/abs/1706.06216 |
– |
|
|
2017 |
6 |
Fila-GAN |
Synthesizing Filamentary Structured Images with GANs |
https://arxiv.org/abs/1706.02185 |
– |
|
|
2017 |
6 |
GANCS |
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI |
https://arxiv.org/abs/1706.00051 |
– |
|
|
2017 |
6 |
GMM-GAN |
Towards Understanding the Dynamics of Generative Adversarial Networks |
https://arxiv.org/abs/1706.09884 |
– |
|
|
2017 |
6 |
IWGAN |
On Unifying Deep Generative Models |
https://arxiv.org/abs/1706.00550 |
– |
|
|
2017 |
6 |
PAN |
Perceptual Adversarial Networks for Image-to-Image Transformation |
https://arxiv.org/abs/1706.09138 |
– |
|
|
2017 |
6 |
Perceptual GAN |
Perceptual Generative Adversarial Networks for Small Object Detection |
https://arxiv.org/abs/1706.05274 |
– |
|
|
2017 |
6 |
PixelGAN |
PixelGAN Autoencoders |
https://arxiv.org/abs/1706.00531 |
– |
|
|
2017 |
6 |
RCGAN |
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs |
https://arxiv.org/abs/1706.02633 |
– |
|
|
2017 |
6 |
RNN-WGAN |
Language Generation with Recurrent Generative Adversarial Networks without Pre-training |
https://arxiv.org/abs/1706.01399 |
https://github.com/amirbar/rnn.wgan |
|
|
2017 |
6 |
SegAN |
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation |
https://arxiv.org/abs/1706.01805 |
– |
|
|
2017 |
6 |
TextureGAN |
TextureGAN: Controlling Deep Image Synthesis with Texture Patches |
https://arxiv.org/abs/1706.02823 |
– |
|
|
2017 |
6 |
α-GAN |
Variational Approaches for Auto-Encoding Generative Adversarial Networks |
https://arxiv.org/abs/1706.04987 |
https://github.com/victor-shepardson/alpha-GAN |
|
|
2017 |
7 |
3D-IWGAN |
Improved Adversarial Systems for 3D Object Generation and Reconstruction |
https://arxiv.org/abs/1707.09557 |
https://github.com/EdwardSmith1884/3D-IWGAN |
|
|
2017 |
7 |
AE-GAN |
AE-GAN: adversarial eliminating with GAN |
https://arxiv.org/abs/1707.05474 |
– |
|
|
2017 |
7 |
AlignGAN |
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks |
https://arxiv.org/abs/1707.01400 |
– |
|
|
2017 |
7 |
APE-GAN |
APE-GAN: Adversarial Perturbation Elimination with GAN |
https://arxiv.org/abs/1707.05474 |
– |
|
|
2017 |
7 |
ARDA |
Adversarial Representation Learning for Domain Adaptation |
https://arxiv.org/abs/1707.01217 |
– |
|
|
2017 |
7 |
DAN |
Distributional Adversarial Networks |
https://arxiv.org/abs/1706.09549 |
– |
|
|
2017 |
7 |
l-GAN |
Representation Learning and Adversarial Generation of 3D Point Clouds |
https://arxiv.org/abs/1707.02392 |
– |
|
|
2017 |
7 |
LD-GAN |
Linear Discriminant Generative Adversarial Networks |
https://arxiv.org/abs/1707.07831 |
– |
|
|
2017 |
7 |
LeGAN |
Likelihood Estimation for Generative Adversarial Networks |
https://arxiv.org/abs/1707.07530 |
– |
|
|
2017 |
7 |
MMGAN |
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images |
https://arxiv.org/abs/1707.08273 |
– |
|
|
2017 |
7 |
MoCoGAN |
MoCoGAN: Decomposing Motion and Content for Video Generation |
https://arxiv.org/abs/1707.04993 |
https://github.com/sergeytulyakov/mocogan |
|
|
2017 |
7 |
ResGAN |
Generative Adversarial Network based on Resnet for Conditional Image Restoration |
https://arxiv.org/abs/1707.04881 |
– |
|
|
2017 |
7 |
SisGAN |
Semantic Image Synthesis via Adversarial Learning |
https://arxiv.org/abs/1707.06873 |
– |
|
|
2017 |
7 |
ss-InfoGAN |
Guiding InfoGAN with Semi-Supervision |
https://arxiv.org/abs/1707.04487 |
– |
|
|
2017 |
7 |
SSGAN |
SSGAN: Secure Steganography Based on Generative Adversarial Networks |
https://arxiv.org/abs/1707.01613 |
– |
|
|
2017 |
7 |
SteinGAN |
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE |
https://arxiv.org/abs/1707.00797 |
– |
|
|
2017 |
7 |
VRAL |
Variance Regularizing Adversarial Learning |
https://arxiv.org/abs/1707.00309 |
– |
|
|
2017 |
8 |
3D-RecGAN |
3D Object Reconstruction from a Single Depth View with Adversarial Learning |
https://arxiv.org/abs/1708.07969 |
https://github.com/Yang7879/3D-RecGAN |
|
|
2017 |
8 |
ABC-GAN |
ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks |
https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view |
https://github.com/IgorSusmelj/ABC-GAN |
|
|
2017 |
8 |
ASDL-GAN |
Automatic Steganographic Distortion Learning Using a Generative Adversarial Network |
https://ieeexplore.ieee.org/document/8017430/ |
– |
|
|
2017 |
8 |
BGAN |
Binary Generative Adversarial Networks for Image Retrieval |
https://arxiv.org/abs/1708.04150 |
https://github.com/htconquer/BGAN |
|
|
2017 |
8 |
CDcGAN |
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network |
https://arxiv.org/abs/1708.09105 |
– |
|
|
2017 |
8 |
CGAN |
Controllable Generative Adversarial Network |
https://arxiv.org/abs/1708.00598 |
– |
|
|
2017 |
8 |
constrast-GAN |
Generative Semantic Manipulation with Contrasting GAN |
https://arxiv.org/abs/1708.00315 |
– |
|
|
2017 |
8 |
Coulomb GAN |
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields |
https://arxiv.org/abs/1708.08819 |
– |
|
|
2017 |
8 |
DM-GAN |
Dual Motion GAN for Future-Flow Embedded Video Prediction |
https://arxiv.org/abs/1708.00284 |
– |
|
|
2017 |
8 |
GAN-sep |
GANs for Biological Image Synthesis |
https://arxiv.org/abs/1708.04692 |
https://github.com/aosokin/biogans |
|
|
2017 |
8 |
GAN-VFS |
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces |
https://arxiv.org/abs/1708.02681 |
– |
|
|
2017 |
8 |
MGGAN |
Multi-Generator Generative Adversarial Nets |
https://arxiv.org/abs/1708.02556 |
– |
|
|
2017 |
8 |
PGAN |
Probabilistic Generative Adversarial Networks |
https://arxiv.org/abs/1708.01886 |
– |
|
|
2017 |
8 |
SN-GAN |
Spectral Normalization for Generative Adversarial Networks |
https://drive.google.com/file/d/0B8HZ50DPgR3eSVV6YlF3XzQxSjQ/view |
https://github.com/pfnet-research/chainer-gan-lib |
|
|
2017 |
8 |
SS-GAN |
Semi-supervised Conditional GANs |
https://arxiv.org/abs/1708.05789 |
– |
|
|
2017 |
8 |
VIGAN |
VIGAN: Missing View Imputation with Generative Adversarial Networks |
https://arxiv.org/abs/1708.06724 |
– |
|
|
2017 |
9 |
ARIGAN |
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network |
https://arxiv.org/abs/1709.00938 |
– |
|
|
2017 |
9 |
CausalGAN |
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training |
https://arxiv.org/abs/1709.02023 |
– |
|
|
2017 |
9 |
D2GAN |
Dual Discriminator Generative Adversarial Nets |
http://arxiv.org/abs/1709.03831 |
– |
|
|
2017 |
9 |
ExposureGAN |
Exposure: A White-Box Photo Post-Processing Framework |
https://arxiv.org/abs/1709.09602 |
https://github.com/yuanming-hu/exposure |
|
|
2017 |
9 |
ExprGAN |
ExprGAN: Facial Expression Editing with Controllable Expression Intensity |
https://arxiv.org/abs/1709.03842 |
– |
|
|
2017 |
9 |
GAMN |
Generative Adversarial Mapping Networks |
https://arxiv.org/abs/1709.09820 |
– |
|
|
2017 |
9 |
GraspGAN |
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping |
https://arxiv.org/abs/1709.07857 |
– |
|
|
2017 |
9 |
LDAN |
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images |
https://arxiv.org/abs/1709.01993 |
– |
|
|
2017 |
9 |
LeakGAN |
Long Text Generation via Adversarial Training with Leaked Information |
https://arxiv.org/abs/1709.08624 |
– |
|
|
2017 |
9 |
MD-GAN |
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks |
https://arxiv.org/abs/1709.07592 |
– |
|
|
2017 |
9 |
MuseGAN |
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks |
https://arxiv.org/abs/1709.06298 |
– |
|
|
2017 |
9 |
OptionGAN |
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning |
https://arxiv.org/abs/1709.06683 |
– |
|
|
2017 |
9 |
PassGAN |
PassGAN: A Deep Learning Approach for Password Guessing |
https://arxiv.org/abs/1709.00440 |
– |
|
|
2017 |
9 |
RefineGAN |
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks |
https://arxiv.org/abs/1709.00753 |
– |
|
|
2017 |
9 |
Splitting GAN |
Class-Splitting Generative Adversarial Networks |
https://arxiv.org/abs/1709.07359 |
– |
|
|
2017 |
9 |
Δ-GAN |
Triangle Generative Adversarial Networks |
https://arxiv.org/abs/1709.06548 |
– |
|
|
2017 |
10 |
CM-GAN |
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning |
https://arxiv.org/abs/1710.05106 |
– |
|
|
2017 |
10 |
GAN-ATV |
A Novel Approach to Artistic Textual Visualization via GAN |
https://arxiv.org/abs/1710.10553 |
– |
|
|
2017 |
10 |
GAP |
Context-Aware Generative Adversarial Privacy |
https://arxiv.org/abs/1710.09549 |
– |
|
|
2017 |
10 |
GP-GAN |
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks |
https://arxiv.org/abs/1710.00962 |
– |
|
|
2017 |
10 |
Progressive GAN |
Progressive Growing of GANs for Improved Quality, Stability, and Variation |
https://arxiv.org/abs/1710.10196 |
https://github.com/tkarras/progressive_growing_of_gans |
|
|
2017 |
10 |
PS²-GAN |
High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks |
https://arxiv.org/abs/1710.10182 |
– |
|
|
2017 |
10 |
SVSGAN |
SVSGAN: Singing Voice Separation via Generative Adversarial Network |
https://arxiv.org/abs/1710.11428 |
– |
|
|
2017 |
10 |
TGAN |
Tensorizing Generative Adversarial Nets |
https://arxiv.org/abs/1710.10772 |
– |
|
|
2017 |
11 |
3D-ED-GAN |
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks |
https://arxiv.org/abs/1711.06375 |
– |
|
|
2017 |
11 |
ABC-GAN |
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference |
https://arxiv.org/abs/1711.11139 |
– |
|
|
2017 |
11 |
ACtuAL |
ACtuAL: Actor-Critic Under Adversarial Learning |
https://arxiv.org/abs/1711.04755 |
– |
|
|
2017 |
11 |
AttGAN |
Arbitrary Facial Attribute Editing: Only Change What You Want |
https://arxiv.org/abs/1711.10678 |
https://github.com/LynnHo/AttGAN-Tensorflow |
|
|
2017 |
11 |
AttnGAN |
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks |
https://arxiv.org/abs/1711.10485 |
https://github.com/taoxugit/AttnGAN |
|
|
2017 |
11 |
BCGAN |
Bidirectional Conditional Generative Adversarial networks |
https://arxiv.org/abs/1711.07461 |
– |
|
|
2017 |
11 |
BicycleGAN |
Toward Multimodal Image-to-Image Translation |
https://arxiv.org/abs/1711.11586 |
https://github.com/junyanz/BicycleGAN |
|
|
2017 |
11 |
CatGAN |
CatGAN: Coupled Adversarial Transfer for Domain Generation |
https://arxiv.org/abs/1711.08904 |
– |
|
|
2017 |
11 |
CoAtt-GAN |
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning |
https://arxiv.org/abs/1711.07613 |
– |
|
|
2017 |
11 |
ConceptGAN |
Learning Compositional Visual Concepts with Mutual Consistency |
https://arxiv.org/abs/1711.06148 |
– |
|
|
2017 |
11 |
Cover-GAN |
Generative Steganography with Kerckhoffs’ Principle based on Generative Adversarial Networks |
https://arxiv.org/abs/1711.04916 |
– |
|
|
2017 |
11 |
D-GAN |
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data |
https://arxiv.org/abs/1711.10267 |
– |
|
|
2017 |
11 |
DAGAN |
Data Augmentation Generative Adversarial Networks |
https://arxiv.org/abs/1711.04340 |
– |
|
|
2017 |
11 |
DeblurGAN |
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks |
https://arxiv.org/abs/1711.07064 |
https://github.com/KupynOrest/DeblurGAN |
|
|
2017 |
11 |
DNA-GAN |
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images |
https://arxiv.org/abs/1711.05415 |
– |
|
|
2017 |
11 |
DRPAN |
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation |
https://arxiv.org/abs/1711.09554 |
– |
|
|
2017 |
11 |
FIGAN |
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks |
https://arxiv.org/abs/1711.06045 |
– |
|
|
2017 |
11 |
FSEGAN |
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition |
https://arxiv.org/abs/1711.05747 |
– |
|
|
2017 |
11 |
FTGAN |
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture |
https://arxiv.org/abs/1711.09618 |
– |
|
|
2017 |
11 |
GANDI |
Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples |
https://arxiv.org/abs/1711.01391 |
– |
|
|
2017 |
11 |
GPU |
A generative adversarial framework for positive-unlabeled classification |
https://arxiv.org/abs/1711.08054 |
– |
|
|
2017 |
11 |
HAN |
Chinese Typeface Transformation with Hierarchical Adversarial Network |
https://arxiv.org/abs/1711.06448 |
– |
|
|
2017 |
11 |
HP-GAN |
HP-GAN: Probabilistic 3D human motion prediction via GAN |
https://arxiv.org/abs/1711.09561 |
– |
|
|
2017 |
11 |
HR-DCGAN |
High-Resolution Deep Convolutional Generative Adversarial Networks |
https://arxiv.org/abs/1711.06491 |
– |
|
|
2017 |
11 |
IFcVAEGAN |
Conditional Autoencoders with Adversarial Information Factorization |
https://arxiv.org/abs/1711.05175 |
– |
|
|
2017 |
11 |
In2I |
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks |
https://arxiv.org/abs/1711.09334 |
– |
|
|
2017 |
11 |
Iterative-GAN |
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs |
https://arxiv.org/abs/1711.06078 |
https://github.com/punkcure/Iterative-GAN |
|
|
2017 |
11 |
IVE-GAN |
IVE-GAN: Invariant Encoding Generative Adversarial Networks |
https://arxiv.org/abs/1711.08646 |
– |
|
|
2017 |
11 |
iVGAN |
Towards an Understanding of Our World by GANing Videos in the Wild |
https://arxiv.org/abs/1711.11453 |
https://github.com/bernhard2202/improved-video-gan |
|
|
2017 |
11 |
KBGAN |
KBGAN: Adversarial Learning for Knowledge Graph Embeddings |
https://arxiv.org/abs/1711.04071 |
– |
|
|
2017 |
11 |
KGAN |
KGAN: How to Break The Minimax Game in GAN |
https://arxiv.org/abs/1711.01744 |
– |
|
|
2017 |
11 |
LGAN |
Global versus Localized Generative Adversarial Nets |
https://arxiv.org/abs/1711.06020 |
– |
|
|
2017 |
11 |
MLGAN |
Metric Learning-based Generative Adversarial Network |
https://arxiv.org/abs/1711.02792 |
– |
|
|
2017 |
11 |
ORGAN |
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network |
https://arxiv.org/abs/1711.06363 |
– |
|
|
2017 |
11 |
Pip-GAN |
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes |
https://arxiv.org/abs/1711.10742 |
– |
|
|
2017 |
11 |
pix2pixHD |
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs |
https://arxiv.org/abs/1711.11585 |
https://github.com/NVIDIA/pix2pixHD |
|
|
2017 |
11 |
Sobolev GAN |
Sobolev GAN |
https://arxiv.org/abs/1711.04894 |
– |
|
|
2017 |
11 |
StarGAN |
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation |
https://arxiv.org/abs/1711.09020 |
https://github.com/yunjey/StarGAN |
|
|
2017 |
11 |
TGAN |
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization |
https://arxiv.org/abs/1711.02666 |
– |
|
|
2017 |
11 |
tripletGAN |
TripletGAN: Training Generative Model with Triplet Loss |
https://arxiv.org/abs/1711.05084 |
– |
|
|
2017 |
11 |
VA-GAN |
Visual Feature Attribution using Wasserstein GANs |
https://arxiv.org/abs/1711.08998 |
– |
|
|
2017 |
11 |
XGAN |
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings |
https://arxiv.org/abs/1711.05139 |
– |
|
|
2017 |
11 |
ZipNet-GAN |
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network |
https://arxiv.org/abs/1711.02413 |
– |
|
|
2017 |
12 |
ACGAN |
Coverless Information Hiding Based on Generative adversarial networks |
https://arxiv.org/abs/1712.06951 |
– |
|
|
2017 |
12 |
CA-GAN |
Composition-aided Sketch-realistic Portrait Generation |
https://arxiv.org/abs/1712.00899 |
– |
|
|
2017 |
12 |
ComboGAN |
ComboGAN: Unrestrained Scalability for Image Domain Translation |
https://arxiv.org/abs/1712.06909 |
https://github.com/AAnoosheh/ComboGAN |
|
|
2017 |
12 |
DF-GAN |
Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions |
https://arxiv.org/abs/1712.04646 |
– |
|
|
2017 |
12 |
Dynamics Transfer GAN |
Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image |
https://arxiv.org/abs/1712.03534 |
– |
|
|
2017 |
12 |
EnergyWGAN |
Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation |
https://arxiv.org/abs/1712.01026 |
– |
|
|
2017 |
12 |
ExGAN |
Eye In-Painting with Exemplar Generative Adversarial Networks |
https://arxiv.org/abs/1712.03999 |
– |
|
|
2017 |
12 |
f-CLSWGAN |
Feature Generating Networks for Zero-Shot Learning |
https://arxiv.org/abs/1712.00981 |
– |
|
|
2017 |
12 |
FusionGAN |
Learning to Fuse Music Genres with Generative Adversarial Dual Learning |
https://arxiv.org/abs/1712.01456 |
– |
|
|
2017 |
12 |
G2-GAN |
Geometry Guided Adversarial Facial Expression Synthesis |
https://arxiv.org/abs/1712.03474 |
– |
|
|
2017 |
12 |
GAGAN |
GAGAN: Geometry-Aware Generative Adverserial Networks |
https://arxiv.org/abs/1712.00684 |
– |
|
|
2017 |
12 |
GAN-RS |
Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks |
https://arxiv.org/abs/1712.00736 |
– |
|
|
2017 |
12 |
GANG |
GANGs: Generative Adversarial Network Games |
https://arxiv.org/abs/1712.00679 |
– |
|
|
2017 |
12 |
GANosaic |
GANosaic: Mosaic Creation with Generative Texture Manifolds |
https://arxiv.org/abs/1712.00269 |
– |
|
|
2017 |
12 |
IdCycleGAN |
Face Translation between Images and Videos using Identity-aware CycleGAN |
https://arxiv.org/abs/1712.00971 |
– |
|
|
2017 |
12 |
manifold-WGAN |
Manifold-valued Image Generation with Wasserstein Adversarial Networks |
https://arxiv.org/abs/1712.01551 |
– |
|
|
2017 |
12 |
MC-GAN |
Multi-Content GAN for Few-Shot Font Style Transfer |
https://arxiv.org/abs/1712.00516 |
https://github.com/azadis/MC-GAN |
|
|
2017 |
12 |
MIL-GAN |
Multimodal Storytelling via Generative Adversarial Imitation Learning |
https://arxiv.org/abs/1712.01455 |
– |
|
|
2017 |
12 |
MS-GAN |
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks |
http://papers.nips.cc/paper/7014-temporal-coherency-based-criteria-for-predicting-video-frames-using-deep-multi-stage-generative-adversarial-networks |
– |
|
|
2017 |
12 |
PacGAN |
PacGAN: The power of two samples in generative adversarial networks |
https://arxiv.org/abs/1712.04086 |
– |
|
|
2017 |
12 |
PN-GAN |
Pose-Normalized Image Generation for Person Re-identification |
https://arxiv.org/abs/1712.02225 |
– |
|
|
2017 |
12 |
PPAN |
Privacy-Preserving Adversarial Networks |
https://arxiv.org/abs/1712.07008 |
– |
|
|
2017 |
12 |
RAN |
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment |
https://arxiv.org/abs/1712.05444 |
|
|
|
2017 |
12 |
SGAN |
SGAN: An Alternative Training of Generative Adversarial Networks |
https://arxiv.org/abs/1712.02330 |
– |
|
|
2017 |
12 |
SRPGAN |
SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution |
https://arxiv.org/abs/1712.05927 |
– |
|
|
2017 |
12 |
ST-CGAN |
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal |
https://arxiv.org/abs/1712.02478 |
– |
|
|
2017 |
12 |
Super-FAN |
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs |
https://arxiv.org/abs/1712.02765 |
– |
|
|
2017 |
12 |
TV-GAN |
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition |
https://arxiv.org/abs/1712.02514 |
– |
|
|
2017 |
12 |
UGACH |
Unsupervised Generative Adversarial Cross-modal Hashing |
https://arxiv.org/abs/1712.00358 |
– |
|
|
2017 |
12 |
UV-GAN |
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition |
https://arxiv.org/abs/1712.04695 |
– |
|
|
2017 |
12 |
VGAN |
Text Generation Based on Generative Adversarial Nets with Latent Variable |
https://arxiv.org/abs/1712.00170 |
– |
|
|
2017 |
12 |
weGAN |
Generative Adversarial Nets for Multiple Text Corpora |
https://arxiv.org/abs/1712.09127 |
– |
|
|
2018 |
1 |
AdvGAN |
Generating adversarial examples with adversarial networks |
https://arxiv.org/abs/1801.02610 |
– |
|
|
2018 |
1 |
CFG-GAN |
Composite Functional Gradient Learning of Generative Adversarial Models |
https://arxiv.org/abs/1801.06309 |
– |
|
|
2018 |
1 |
CipherGAN |
Unsupervised Cipher Cracking Using Discrete GANs |
https://arxiv.org/abs/1801.04883 |
– |
|
|
2018 |
1 |
Cross-GAN |
Crossing Generative Adversarial Networks for Cross-View Person Re-identification |
https://arxiv.org/abs/1801.01760 |
– |
|
|
2018 |
1 |
dp-GAN |
Differentially Private Releasing via Deep Generative Model |
https://arxiv.org/abs/1801.01594 |
– |
|
|
2018 |
1 |
ecGAN |
eCommerceGAN : A Generative Adversarial Network for E-commerce |
https://arxiv.org/abs/1801.03244 |
– |
|
|
2018 |
1 |
FusedGAN |
Semi-supervised FusedGAN for Conditional Image Generation |
https://arxiv.org/abs/1801.05551 |
– |
|
|
2018 |
1 |
GeoGAN |
Generating Instance Segmentation Annotation by Geometry-guided GAN |
https://arxiv.org/abs/1801.08839 |
– |
|
|
2018 |
1 |
GLCA-GAN |
Global and Local Consistent Age Generative Adversarial Networks |
https://arxiv.org/abs/1801.08390 |
– |
|
|
2018 |
1 |
LAC-GAN |
Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification |
https://arxiv.org/abs/1801.05096 |
– |
|
|
2018 |
1 |
MaskGAN |
MaskGAN: Better Text Generation via Filling in the ______ |
https://arxiv.org/abs/1801.07736 |
– |
|
|
2018 |
1 |
SG-GAN |
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption |
https://arxiv.org/abs/1801.01726 |
https://github.com/Peilun-Li/SG-GAN |
|
|
2018 |
1 |
SketchyGAN |
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis |
https://arxiv.org/abs/1801.02753 |
– |
|
|
2018 |
1 |
tempoGAN |
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow |
https://arxiv.org/abs/1801.09710 |
– |
|
|
2018 |
1 |
UGAN |
Enhancing Underwater Imagery using Generative Adversarial Networks |
https://arxiv.org/abs/1801.04011 |
– |
|
|
2018 |
2 |
AmbientGAN |
AmbientGAN: Generative models from lossy measurements |
https://openreview.net/forum?id=Hy7fDog0b |
https://github.com/AshishBora/ambient-gan |
|
|
2018 |
2 |
ATA-GAN |
Attention-Aware Generative Adversarial Networks (ATA-GANs) |
https://arxiv.org/abs/1802.09070 |
– |
|
|
2018 |
2 |
C-GAN |
Face Aging with Contextual Generative Adversarial Nets |
https://arxiv.org/abs/1802.00237 |
– |
|
|
2018 |
2 |
CapsuleGAN |
CapsuleGAN: Generative Adversarial Capsule Network |
http://arxiv.org/abs/1802.06167 |
– |
|
|
2018 |
2 |
DA-GAN |
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) |
http://arxiv.org/abs/1802.06454 |
– |
|
|
2018 |
2 |
DP-GAN |
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text |
https://arxiv.org/abs/1802.01345 |
– |
|
|
2018 |
2 |
DPGAN |
Differentially Private Generative Adversarial Network |
http://arxiv.org/abs/1802.06739 |
– |
|
|
2018 |
2 |
First Order GAN |
First Order Generative Adversarial Networks |
https://arxiv.org/abs/1802.04591 |
https://github.com/zalandoresearch/first_order_gan |
|
|
2018 |
2 |
GC-GAN |
Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis |
https://arxiv.org/abs/1802.01822 |
– |
|
|
2018 |
2 |
LB-GAN |
Load Balanced GANs for Multi-view Face Image Synthesis |
http://arxiv.org/abs/1802.07447 |
– |
|
|
2018 |
2 |
MAGAN |
MAGAN: Aligning Biological Manifolds |
https://arxiv.org/abs/1803.00385 |
– |
|
|
2018 |
2 |
ND-GAN |
Novelty Detection with GAN |
https://arxiv.org/abs/1802.10560 |
– |
|
|
2018 |
2 |
PGD-GAN |
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees |
https://arxiv.org/abs/1802.08406 |
– |
|
|
2018 |
2 |
RadialGAN |
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks |
http://arxiv.org/abs/1802.06403 |
– |
|
|
2018 |
2 |
SAR-GAN |
Generating High Quality Visible Images from SAR Images Using CNNs |
https://arxiv.org/abs/1802.10036 |
– |
|
|
2018 |
2 |
SCH-GAN |
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network |
https://arxiv.org/abs/1802.02488 |
– |
|
|
2018 |
2 |
StainGAN |
StainGAN: Stain Style Transfer for Digital Histological Images |
https://arxiv.org/abs/1804.01601 |
– |
|
|
2018 |
2 |
SWGAN |
Solving Approximate Wasserstein GANs to Stationarity |
https://arxiv.org/abs/1802.08249 |
– |
|
|
2018 |
2 |
VoiceGAN |
Voice Impersonation using Generative Adversarial Networks |
http://arxiv.org/abs/1802.06840 |
– |
|
|
2018 |
2 |
WaveGAN |
Synthesizing Audio with Generative Adversarial Networks |
https://arxiv.org/abs/1802.04208 |
– |
|
|
2018 |
3 |
Attention-GAN |
Attention-GAN for Object Transfiguration in Wild Images |
https://arxiv.org/abs/1803.06798 |
– |
|
|
2018 |
3 |
B-DCGAN |
B-DCGAN:Evaluation of Binarized DCGAN for FPGA |
https://arxiv.org/abs/1803.10930 |
– |
|
|
2018 |
3 |
BAGAN |
BAGAN: Data Augmentation with Balancing GAN |
https://arxiv.org/abs/1803.09655 |
– |
|
|
2018 |
3 |
BranchGAN |
Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning |
https://arxiv.org/abs/1803.08467 |
– |
|
|
2018 |
3 |
D2IA-GAN |
Tagging like Humans: Diverse and Distinct Image Annotation |
https://arxiv.org/abs/1804.00113 |
– |
|
|
2018 |
3 |
DBLRGAN |
Adversarial Spatio-Temporal Learning for Video Deblurring |
https://arxiv.org/abs/1804.00533 |
– |
|
|
2018 |
3 |
E-GAN |
Evolutionary Generative Adversarial Networks |
https://arxiv.org/abs/1803.00657 |
– |
|
|
2018 |
3 |
ELEGANT |
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes |
https://arxiv.org/abs/1803.10562 |
– |
|
|
2018 |
3 |
Fictitious GAN |
Fictitious GAN: Training GANs with Historical Models |
https://arxiv.org/abs/1803.08647 |
– |
|
|
2018 |
3 |
GAAN |
Generative Adversarial Autoencoder Networks |
https://arxiv.org/abs/1803.08887 |
– |
|
|
2018 |
3 |
GONet |
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation |
https://arxiv.org/abs/1803.03254 |
– |
|
|
2018 |
3 |
memoryGAN |
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks |
https://arxiv.org/abs/1803.01500 |
– |
|
|
2018 |
3 |
MTGAN |
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks |
https://arxiv.org/abs/1803.09059 |
– |
|
|
2018 |
3 |
NCE-GAN |
Dihedral angle prediction using generative adversarial networks |
https://arxiv.org/abs/1803.10996 |
– |
|
|
2018 |
3 |
NetGAN |
NetGAN: Generating Graphs via Random Walks |
https://arxiv.org/abs/1803.00816 |
– |
|
|
2018 |
3 |
OCAN |
One-Class Adversarial Nets for Fraud Detection |
https://arxiv.org/abs/1803.01798 |
– |
|
|
2018 |
3 |
OT-GAN |
Improving GANs Using Optimal Transport |
https://arxiv.org/abs/1803.05573 |
– |
|
|
2018 |
3 |
PGGAN |
Patch-Based Image Inpainting with Generative Adversarial Networks |
https://arxiv.org/abs/1803.07422 |
– |
|
|
2018 |
3 |
Sdf-GAN |
Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks |
https://arxiv.org/abs/1803.06657 |
– |
|
|
2018 |
3 |
Social GAN |
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks |
https://arxiv.org/abs/1803.10892 |
– |
|
|
2018 |
3 |
Spike-GAN |
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks |
https://arxiv.org/abs/1803.00338 |
– |
|
|
2018 |
3 |
ST-GAN |
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing |
https://arxiv.org/abs/1803.01837 |
– |
|
|
2018 |
3 |
Text2Shape |
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings |
https://arxiv.org/abs/1803.08495 |
– |
|
|
2018 |
3 |
tiny-GAN |
Analysis of Nonautonomous Adversarial Systems |
https://arxiv.org/abs/1803.05045 |
– |
|
|
2018 |
3 |
VOS-GAN |
VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos |
https://arxiv.org/abs/1803.09092 |
– |
|
|
2018 |
4 |
3D-PhysNet |
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations |
https://arxiv.org/abs/1805.00328 |
– |
|
|
2018 |
4 |
AF-DCGAN |
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System |
https://arxiv.org/abs/1804.05347 |
– |
|
|
2018 |
4 |
BEAM |
Boltzmann Encoded Adversarial Machines |
https://arxiv.org/abs/1804.08682 |
– |
|
|
2018 |
4 |
CorrGAN |
Correlated discrete data generation using adversarial training |
https://arxiv.org/abs/1804.00925 |
– |
|
|
2018 |
4 |
D-WCGAN |
I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification |
https://arxiv.org/abs/1804.00290 |
– |
|
|
2018 |
4 |
Defo-Net |
Defo-Net: Learning Body Deformation using Generative Adversarial Networks |
https://arxiv.org/abs/1804.05928 |
– |
|
|
2018 |
4 |
DSH-GAN |
Deep Semantic Hashing with Generative Adversarial Networks |
https://arxiv.org/abs/1804.08275 |
– |
|
|
2018 |
4 |
DTR-GAN |
DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization |
https://arxiv.org/abs/1804.11228 |
– |
|
|
2018 |
4 |
DVGAN |
Human Motion Modeling using DVGANs |
https://arxiv.org/abs/1804.10652 |
– |
|
|
2018 |
4 |
EAR |
Generative Model for Heterogeneous Inference |
https://arxiv.org/abs/1804.09858 |
– |
|
|
2018 |
4 |
FBGAN |
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions |
https://arxiv.org/abs/1804.01694 |
– |
|
|
2018 |
4 |
FusionGAN |
Generating a Fusion Image: One’s Identity and Another’s Shape |
https://arxiv.org/abs/1804.07455 |
– |
|
|
2018 |
4 |
Graphical-GAN |
Graphical Generative Adversarial Networks |
https://arxiv.org/abs/1804.03429 |
– |
|
|
2018 |
4 |
IterGAN |
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation |
https://arxiv.org/abs/1804.05651 |
– |
|
|
2018 |
4 |
M-AAE |
Mask-aware Photorealistic Face Attribute Manipulation |
https://arxiv.org/abs/1804.08882 |
– |
|
|
2018 |
4 |
MelanoGAN |
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs |
https://arxiv.org/abs/1804.04338 |
– |
|
|
2018 |
4 |
MGGAN |
MGGAN: Solving Mode Collapse using Manifold Guided Training |
https://arxiv.org/abs/1804.04391 |
– |
|
|
2018 |
4 |
ModularGAN |
Modular Generative Adversarial Networks |
https://arxiv.org/abs/1804.03343 |
– |
|
|
2018 |
4 |
NAN |
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing |
https://arxiv.org/abs/1804.03287 |
– |
|
|
2018 |
4 |
PM-GAN |
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities |
https://arxiv.org/abs/1804.06248 |
– |
|
|
2018 |
4 |
ProGanSR |
A Fully Progressive Approach to Single-Image Super-Resolution |
https://arxiv.org/abs/1804.02900 |
– |
|
|
2018 |
4 |
PS-GAN |
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond |
https://arxiv.org/abs/1804.02047 |
– |
|
|
2018 |
4 |
ReConNN |
Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network |
https://arxiv.org/abs/1805.00528 |
– |
|
|
2018 |
4 |
SAGA |
Generative Adversarial Learning for Spectrum Sensing |
https://arxiv.org/abs/1804.00709 |
– |
|
|
2018 |
4 |
sGAN |
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI |
https://arxiv.org/abs/1804.04366 |
– |
|
|
2018 |
4 |
Sketcher-Refiner GAN |
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training |
https://arxiv.org/abs/1804.08039 |
– |
|
|
2018 |
4 |
SyncGAN |
SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks |
https://arxiv.org/abs/1804.00410 |
– |
|
|
2018 |
4 |
TGANs-C |
To Create What You Tell: Generating Videos from Captions |
https://arxiv.org/abs/1804.08264 |
– |
|
|
2018 |
4 |
UT-SCA-GAN |
Spatial Image Steganography Based on Generative Adversarial Network |
https://arxiv.org/abs/1804.07939 |
– |
|
|
2018 |
5 |
AdvEntuRe |
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples |
https://arxiv.org/abs/1805.04680 |
– |
|
|
2018 |
5 |
AVID |
AVID: Adversarial Visual Irregularity Detection |
https://arxiv.org/abs/1805.09521 |
– |
|
|
2018 |
5 |
BourGAN |
BourGAN: Generative Networks with Metric Embeddings |
https://arxiv.org/abs/1805.07674 |
– |
|
|
2018 |
5 |
BRE |
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization |
https://arxiv.org/abs/1805.03644 |
https://github.com/BorealisAI/bre-gan |
|
|
2018 |
5 |
cd-GAN |
Conditional Image-to-Image Translation |
https://arxiv.org/abs/1805.00251 |
– |
|
|
2018 |
5 |
cowboy |
Defending Against Adversarial Attacks by Leveraging an Entire GAN |
https://arxiv.org/abs/1805.10652 |
– |
|
|
2018 |
5 |
CSG |
Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks |
https://arxiv.org/abs/1806.00154 |
– |
|
|
2018 |
5 |
Defense-GAN |
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models |
https://arxiv.org/abs/1805.06605 |
https://github.com/kabkabm/defensegan |
|
|
2018 |
5 |
DialogWAE |
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder |
https://arxiv.org/abs/1805.12352 |
– |
|
|
2018 |
5 |
DTLC-GAN |
Generative Adversarial Image Synthesis with Decision Tree Latent Controller |
https://arxiv.org/abs/1805.10603 |
– |
|
|
2018 |
5 |
FairGAN |
FairGAN: Fairness-aware Generative Adversarial Networks |
https://arxiv.org/abs/1805.11202 |
– |
|
|
2018 |
5 |
Fairness GAN |
Fairness GAN |
https://arxiv.org/abs/1805.09910 |
– |
|
|
2018 |
5 |
FakeGAN |
Detecting Deceptive Reviews using Generative Adversarial Networks |
https://arxiv.org/abs/1805.10364 |
– |
|
|
2018 |
5 |
FBGAN |
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference |
https://arxiv.org/abs/1805.07862 |
– |
|
|
2018 |
5 |
FC-GAN |
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis |
https://arxiv.org/abs/1805.01972 |
– |
|
|
2018 |
5 |
GAF |
Generative Adversarial Forests for Better Conditioned Adversarial Learning |
https://arxiv.org/abs/1805.05185 |
– |
|
|
2018 |
5 |
GAN Q-learning |
GAN Q-learning |
https://arxiv.org/abs/1805.04874 |
– |
|
|
2018 |
5 |
GAN-SD |
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning |
https://arxiv.org/abs/1805.10000 |
– |
|
|
2018 |
5 |
GAN-Word2Vec |
Adversarial Training of Word2Vec for Basket Completion |
https://arxiv.org/abs/1805.08720 |
– |
|
|
2018 |
5 |
GANAX |
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks |
https://arxiv.org/abs/1806.01107 |
– |
|
|
2018 |
5 |
GT-GAN |
Deep Graph Translation |
https://arxiv.org/abs/1805.09980 |
– |
|
|
2018 |
5 |
HAN |
Bidirectional Learning for Robust Neural Networks |
https://arxiv.org/abs/1805.08006 |
– |
|
|
2018 |
5 |
HiGAN |
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks |
https://arxiv.org/abs/1805.04384 |
– |
|
|
2018 |
5 |
hredGAN |
Multi-turn Dialogue Response Generation in an Adversarial Learning framework |
https://arxiv.org/abs/1805.11752 |
– |
|
|
2018 |
5 |
MC-GAN |
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis |
https://arxiv.org/abs/1805.01123 |
– |
|
|
2018 |
5 |
MEGAN |
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation |
https://arxiv.org/abs/1805.02481 |
– |
|
|
2018 |
5 |
MolGAN |
MolGAN: An implicit generative model for small molecular graphs |
https://arxiv.org/abs/1805.11973 |
– |
|
|
2018 |
5 |
N2RPP |
N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients |
https://arxiv.org/abs/1805.02825 |
– |
|
|
2018 |
5 |
PD-WGAN |
Primal-Dual Wasserstein GAN |
https://arxiv.org/abs/1805.09575 |
– |
|
|
2018 |
5 |
POGAN |
Perceptually Optimized Generative Adversarial Network for Single Image Dehazing |
https://arxiv.org/abs/1805.01084 |
– |
|
|
2018 |
5 |
PSGAN |
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening |
https://arxiv.org/abs/1805.03371 |
– |
|
|
2018 |
5 |
ReGAN |
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs |
https://arxiv.org/abs/1805.02788 |
https://github.com/TalkToTheGAN/REGAN |
|
|
2018 |
5 |
RegCGAN |
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs |
https://arxiv.org/abs/1805.02456 |
– |
|
|
2018 |
5 |
RoCGAN |
Robust Conditional Generative Adversarial Networks |
https://arxiv.org/abs/1805.08657 |
– |
|
|
2018 |
5 |
SAGAN |
Self-Attention Generative Adversarial Networks |
https://arxiv.org/abs/1805.08318 |
– |
|
|
2018 |
5 |
SG-GAN |
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation |
https://arxiv.org/abs/1805.07509 |
– |
|
|
2018 |
5 |
speech-driven animation GAN |
End-to-End Speech-Driven Facial Animation with Temporal GANs |
https://arxiv.org/abs/1805.09313 |
– |
|
|
2018 |
5 |
WGAN-CLS |
Text to Image Synthesis Using Generative Adversarial Networks |
https://arxiv.org/abs/1805.00676 |
– |
|
|
2018 |
6 |
Adaptive GAN |
Customizing an Adversarial Example Generator with Class-Conditional GANs |
https://arxiv.org/abs/1806.10496 |
– |
|
|
2018 |
6 |
APD |
Adversarial Distillation of Bayesian Neural Network Posteriors |
https://arxiv.org/abs/1806.10317 |
– |
|
|
2018 |
6 |
BinGAN |
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN |
https://arxiv.org/abs/1806.06778 |
– |
|
|
2018 |
6 |
BWGAN |
Banach Wasserstein GAN |
https://arxiv.org/abs/1806.06621 |
– |
|
|
2018 |
6 |
CapsGAN |
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks |
https://arxiv.org/abs/1806.03968 |
– |
|
|
2018 |
6 |
CR-GAN |
CR-GAN: Learning Complete Representations for Multi-view Generation |
https://arxiv.org/abs/1806.11191 |
– |
|
|
2018 |
6 |
DMGAN |
Disconnected Manifold Learning for Generative Adversarial Networks |
https://arxiv.org/abs/1806.00880 |
– |
|
|
2018 |
6 |
EL-GAN |
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection |
https://arxiv.org/abs/1806.05525 |
– |
|
|
2018 |
6 |
FrankenGAN |
rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs |
https://arxiv.org/abs/1806.07179 |
– |
|
|
2018 |
6 |
GAIN |
GAIN: Missing Data Imputation using Generative Adversarial Nets |
https://arxiv.org/abs/1806.02920 |
– |
|
|
2018 |
6 |
GANG |
Beyond Local Nash Equilibria for Adversarial Networks |
https://arxiv.org/abs/1806.07268 |
– |
|
|
2018 |
6 |
GATS |
Sample-Efficient Deep RL with Generative Adversarial Tree Search |
https://arxiv.org/abs/1806.05780 |
– |
|
|
2018 |
6 |
IR2VI |
IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation |
https://arxiv.org/abs/1806.09565 |
– |
|
|
2018 |
6 |
IRGAN |
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances |
https://arxiv.org/abs/1806.03577 |
– |
|
|
2018 |
6 |
JointGAN |
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets |
https://arxiv.org/abs/1806.02978 |
– |
|
|
2018 |
6 |
JR-GAN |
JR-GAN: Jacobian Regularization for Generative Adversarial Networks |
https://arxiv.org/abs/1806.09235 |
– |
|
|
2018 |
6 |
LCC-GAN |
Adversarial Learning with Local Coordinate Coding |
https://arxiv.org/abs/1806.04895 |
– |
|
|
2018 |
6 |
MedGAN |
MedGAN: Medical Image Translation using GANs |
https://arxiv.org/abs/1806.06397 |
– |
|
|
2018 |
6 |
MMC-GAN |
A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions |
https://arxiv.org/abs/1806.03847 |
– |
|
|
2018 |
6 |
Modified GAN-CLS |
Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm |
https://arxiv.org/abs/1806.11302 |
– |
|
|
2018 |
6 |
PP-GAN |
Privacy-Protective-GAN for Face De-identification |
https://arxiv.org/abs/1806.08906 |
– |
|
|
2018 |
6 |
SeUDA |
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation |
https://arxiv.org/abs/1806.00600 |
– |
|
|
2018 |
6 |
SN-DCGAN |
Generative Adversarial Networks for Unsupervised Object Co-localization |
https://arxiv.org/abs/1806.00236 |
– |
|
|
2018 |
6 |
SN-PatchGAN |
Free-Form Image Inpainting with Gated Convolution |
https://arxiv.org/abs/1806.03589 |
– |
|
|
2018 |
6 |
SoPhie |
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints |
https://arxiv.org/abs/1806.01482 |
– |
|
|
2018 |
6 |
SR-CNN-VAE-GAN |
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation |
https://arxiv.org/abs/1806.00509 |
https://github.com/makbari7/SR-CNN-VAE-GAN |
|
|
2018 |
6 |
StarGAN-VC |
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks |
https://arxiv.org/abs/1806.02169 |
– |
|
|
2018 |
6 |
table-GAN |
Data Synthesis based on Generative Adversarial Networks |
https://arxiv.org/abs/1806.03384 |
– |
|
|
2018 |
6 |
tcGAN |
Cross-modal Hallucination for Few-shot Fine-grained Recognition |
https://arxiv.org/abs/1806.05147 |
– |
|
|
2018 |
6 |
TD-GAN |
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation |
https://arxiv.org/abs/1806.07201 |
– |
|
|
2018 |
6 |
tempCycleGAN |
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries |
https://arxiv.org/abs/1806.03627 |
– |
|
|
2018 |
6 |
VAC+GAN |
Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios |
https://arxiv.org/abs/1806.07751 |
– |
|
|
2018 |
7 |
acGAN |
On-line Adaptative Curriculum Learning for GANs |
https://arxiv.org/abs/1808.00020 |
– |
|
|
2018 |
7 |
AlphaGAN |
AlphaGAN: Generative adversarial networks for natural image matting |
https://arxiv.org/abs/1807.10088 |
– |
|
|
2018 |
7 |
AMC-GAN |
Video Prediction with Appearance and Motion Conditions |
https://arxiv.org/abs/1807.02635 |
– |
|
|
2018 |
7 |
CE-GAN |
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network |
https://arxiv.org/abs/1807.04585 |
– |
|
|
2018 |
7 |
ciGAN |
Conditional Infilling GANs for Data Augmentation in Mammogram Classification |
https://arxiv.org/abs/1807.08093 |
– |
|
|
2018 |
7 |
CT-GAN |
CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification |
https://arxiv.org/abs/1807.04812 |
– |
|
|
2018 |
7 |
DE-GAN |
Generative Adversarial Networks with Decoder-Encoder Output Noise |
https://arxiv.org/abs/1807.03923 |
– |
|
|
2018 |
7 |
Dropout-GAN |
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators |
https://arxiv.org/abs/1807.11346 |
– |
|
|
2018 |
7 |
Editable GAN |
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously |
https://arxiv.org/abs/1807.07700 |
– |
|
|
2018 |
7 |
FGGAN |
Adversarial Learning for Fine-grained Image Search |
https://arxiv.org/abs/1807.02247 |
– |
|
|
2018 |
7 |
GAIA |
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions |
https://arxiv.org/abs/1807.06650 |
– |
|
|
2018 |
7 |
GAP |
Generative Adversarial Privacy |
https://arxiv.org/abs/1807.05306 |
– |
|
|
2018 |
7 |
IntroVAE |
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis |
https://arxiv.org/abs/1807.06358 |
– |
|
|
2018 |
7 |
ISGAN |
Invisible Steganography via Generative Adversarial Network |
https://arxiv.org/abs/1807.08571 |
– |
|
|
2018 |
7 |
LBT |
Learning Implicit Generative Models by Teaching Explicit Ones |
https://arxiv.org/abs/1807.03870 |
– |
|
|
2018 |
7 |
Lipizzaner |
Towards Distributed Coevolutionary GANs |
https://arxiv.org/abs/1807.08194 |
– |
|
|
2018 |
7 |
MIXGAN |
MIXGAN: Learning Concepts from Different Domains for Mixture Generation |
https://arxiv.org/abs/1807.01659 |
– |
|
|
2018 |
7 |
PIONEER |
Pioneer Networks: Progressively Growing Generative Autoencoder |
https://arxiv.org/abs/1807.03026 |
– |
|
|
2018 |
7 |
RaGAN |
The relativistic discriminator: a key element missing from standard GAN |
https://arxiv.org/abs/1807.00734 |
– |
|
|
2018 |
7 |
Resembled GAN |
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes |
https://arxiv.org/abs/1807.00947 |
– |
|
|
2018 |
7 |
sAOG |
Deep Structured Generative Models |
https://arxiv.org/abs/1807.03877 |
– |
|
|
2018 |
7 |
Sem-GAN |
Sem-GAN: Semantically-Consistent Image-to-Image Translation |
https://arxiv.org/abs/1807.04409 |
– |
|
|
2018 |
7 |
SGAN |
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement |
https://arxiv.org/abs/1807.07144 |
– |
|
|
2018 |
7 |
SiGAN |
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination |
https://arxiv.org/abs/1807.08370 |
– |
|
|
2018 |
7 |
TequilaGAN |
TequilaGAN: How to easily identify GAN samples |
https://arxiv.org/abs/1807.04919 |
– |
|
|
2018 |
7 |
WGAN-L1 |
Subsampled Turbulence Removal Network |
https://arxiv.org/abs/1807.04418 |
– |
|
|
2018 |
8 |
BEGAN-CS |
Escaping from Collapsing Modes in a Constrained Space |
https://arxiv.org/abs/1808.07258 |
– |
|
|
2018 |
8 |
Bellman GAN |
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN |
https://arxiv.org/abs/1808.01960 |
– |
|
|
2018 |
8 |
BridgeGAN |
Generative Adversarial Frontal View to Bird View Synthesis |
https://arxiv.org/abs/1808.00327 |
– |
|
|
2018 |
8 |
DOPING |
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN |
https://arxiv.org/abs/1808.07632 |
– |
|
|
2018 |
8 |
GIN |
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation |
https://arxiv.org/abs/1808.04495 |
– |
|
|
2018 |
8 |
GM-GAN |
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images |
https://arxiv.org/abs/1808.10356 |
– |
|
|
2018 |
8 |
ISP-GPM |
Inner Space Preserving Generative Pose Machine |
https://arxiv.org/abs/1808.02104 |
– |
|
|
2018 |
8 |
MinLGAN |
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks |
https://arxiv.org/abs/1808.00200 |
– |
|
|
2018 |
8 |
Recycle-GAN |
Recycle-GAN: Unsupervised Video Retargeting |
https://arxiv.org/abs/1808.05174 |
– |
|
|
2018 |
8 |
ScarGAN |
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans |
https://arxiv.org/abs/1808.04500 |
– |
|
|
2018 |
8 |
Skip-Thought GAN |
Generating Text through Adversarial Training using Skip-Thought Vectors |
https://arxiv.org/abs/1808.08703 |
– |
|
|
2018 |
8 |
StepGAN |
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation |
https://arxiv.org/abs/1808.05599 |
– |
|
|
2018 |
8 |
T2Net |
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks |
https://arxiv.org/abs/1808.01454 |
– |
|
|
2018 |
8 |
TreeGAN |
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks |
https://arxiv.org/abs/1808.07582 |
– |
|
|
2018 |
8 |
X-GANs |
X-GANs: Image Reconstruction Made Easy for Extreme Cases |
https://arxiv.org/abs/1808.04432 |
– |
|
|
2018 |
9 |
AE-OT |
Latent Space Optimal Transport for Generative Models |
https://arxiv.org/abs/1809.05964 |
– |
|
|
2018 |
9 |
AIM |
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization |
https://arxiv.org/abs/1809.05972 |
– |
|
|
2018 |
9 |
Bi-GAN |
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm |
https://arxiv.org/abs/1809.10244 |
– |
|
|
2018 |
9 |
BubGAN |
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images |
https://arxiv.org/abs/1809.02266 |
– |
|
|
2018 |
9 |
CinCGAN |
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks |
https://arxiv.org/abs/1809.00437 |
– |
|
|
2018 |
9 |
ClusterGAN |
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks |
https://arxiv.org/abs/1809.03627 |
– |
|
|
2018 |
9 |
DADA |
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification |
https://arxiv.org/abs/1809.00981 |
– |
|
|
2018 |
9 |
DeepFD |
Learning to Detect Fake Face Images in the Wild |
https://arxiv.org/abs/1809.08754 |
– |
|
|
2018 |
9 |
ESRGAN |
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks |
https://arxiv.org/abs/1809.00219 |
– |
|
|
2018 |
9 |
GAN Lab |
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation |
https://arxiv.org/abs/1809.01587 |
– |
|
|
2018 |
9 |
GAN-AD |
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series |
https://arxiv.org/abs/1809.04758 |
– |
|
|
2018 |
9 |
GANVO |
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks |
https://arxiv.org/abs/1809.05786 |
– |
|
|
2018 |
9 |
GcGAN |
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping |
https://arxiv.org/abs/1809.05852 |
– |
|
|
2018 |
9 |
GraphSGAN |
Semi-supervised Learning on Graphs with Generative Adversarial Nets |
https://arxiv.org/abs/1809.00130 |
– |
|
|
2018 |
9 |
IGMM-GAN |
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data |
https://arxiv.org/abs/1809.02728 |
– |
|
|
2018 |
9 |
MeRGAN |
Memory Replay GANs: learning to generate images from new categories without forgetting |
https://arxiv.org/abs/1809.02058 |
– |
|
|
2018 |
9 |
SAM |
Sample-Efficient Imitation Learning via Generative Adversarial Nets |
https://arxiv.org/abs/1809.02064 |
– |
|
|
2018 |
9 |
SiftingGAN |
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro |
https://arxiv.org/abs/1809.04985 |
– |
|
|
2018 |
9 |
SLSR |
Sparse Label Smoothing for Semi-supervised Person Re-Identification |
https://arxiv.org/abs/1809.04976 |
– |
|
|
2018 |
9 |
Twin-GAN |
Twin-GAN — Unpaired Cross-Domain Image Translation with Weight-Sharing GANs |
https://arxiv.org/abs/1809.00946 |
– |
|
|
2018 |
9 |
WaveletGLCA-GAN |
Global and Local Consistent Wavelet-domain Age Synthesis |
https://arxiv.org/abs/1809.07764 |
|