A curated list of GAN papers
- GAN Basics with code (DCGAN, WGAN, Pix2Pix, CycleGAN, ProgressiveGAN, StyleGAN)
- GAN Metrics (Inception score, FID)
- GAN papers accepted on conferences (NIPS 2020, ICML 2020, CVPR 2020)
Generative Adversarial Networks with codes
| GAN model | Tiitle | conference | tensorflow code | pytorch code |
|---|---|---|---|---|
| DCGAN | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | ICLR 2016 | pytorch example | |
| WGAN | Wasserstein GAN | official | ||
| WGAN-GP | Improved Training of Wasserstein GANs | NIPS 2017 | official | unofficial |
| BEGAN | BEGAN: Boundary Equilibrium Generative Adversarial Networks | arXiv 2017 | unofficial | unofficial |
| pix2pix | Image-to-Image Translation with Conditional Adversarial Networks | CVPR 2017 | official | |
| CycleGAN | Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | ICCV 2017 | official | |
| GauGAN | Semantic Image Synthesis with Spatially-Adaptive Normalization | CVPR 2019 oral | official | |
| ProgressiveGAN | Progressive Growing of GANs for Improved Quality, Stability, and Variation | ICLR 2018 | official | unofficial1, unofficial2 |
| StyleGAN | A Style-Based Generator Architecture for Generative Adversarial Networks | CVPR 2019 | official | unofficial1, unofficial2 |
| Metric | Tiitle | conference | tensorflow code | pytorch code |
|---|---|---|---|---|
| Inception Score | Improved Training of Wasserstein GANs | NIPS 2017 | official | |
| Inception Score | A note on the Inception Score | ICML 2018 Workshop | unofficial | |
| FID | GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium | NIPS 2017 | official | |
| FID | GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium | NIPS 2017 | unofficial |
Oral
- Do 2D GANs know 3D shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
- Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Spotlight
- On Self-Supervised Image Representations for GAN Evaluation
- Influence Estimation for Generative Adversarial Networks
- Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Poster
-
Private Post-GAN Boosting
-
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
-
GAN "Steerability" without optimization
-
DINO: A Conditional Energy-Based GAN for Domain Translation
-
GANs Can Play Lottery Tickets Too
-
Training GANs with Stronger Augmentations via Contrastive Discriminator
-
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
-
Using latent space regression to analyze and leverage compositionality in GANs
-
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
-
Taming GANs with Lookahead-Minmax
-
Wasserstein-2 Generative Networks
-
Counterfactual Generative Networks
-
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
-
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
-
Adaptive and Generative Zero-Shot Learning
-
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
-
Understanding Over-parameterization in Generative Adversarial Networks
-
ColdGANs: Taming Language GANs with Cautious Sampling Strategies paper
-
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis [paper](https://arxiv.org/abs/2010.05646 https://github.com/jik876/hifi-gan)
-
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators paper
-
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample paper
-
Distributional Robustness with IPMs and links to Regularization and GANs paper
-
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation paper
-
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs paper
-
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars paper
-
Instance Selection for GANs paper
-
COT-GAN: Generating Sequential Data via Causal Optimal Transport paper
-
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data paper
-
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting paper
-
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images paper
-
Teaching a GAN What Not to Learn paper
-
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals paper
-
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling paper
-
Towards a Better Global Loss Landscape of GANs paper
-
Differentiable Augmentation for Data-Efficient GAN Training paper code
-
ContraGAN: Contrastive Learning for Conditional Image Generation paper
-
CircleGAN: Generative Adversarial Learning across Spherical Circles paper
-
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN paper
-
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples paper
-
Training Generative Adversarial Networks with Limited Data paper
-
Learning Semantic-aware Normalization for Generative Adversarial Networks paper
-
Training Generative Adversarial Networks by Solving Ordinary Differential Equations paper
-
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation paper
-
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets [paper](
- Small-GAN: Speeding up GAN Training using Core-Sets
- GANs May Have No Nash Equilibria
- Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
- Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
- SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
- Semi-Supervised StyleGAN for Disentanglement Learning
- T-GD: Transferable GAN-generated Images Detection Framework
- Learning disconnected manifolds: a no GAN's land
- InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers
- NetGAN without GAN: From Random Walks to Low-Rank Approximations
- AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
- Feature Quantization Improves GAN Training
- SGD Learns One-Layer Networks in WGANs
- Bridging the Gap Between f-GANs and Wasserstein GANs
- Implicit competitive regularization in GANs
- Reliable Fidelity and Diversity Metrics for Generative Models
- Perceptual Generative Autoencoders
- Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
- Implicit Generative Modeling for Efficient Exploration
- VFlow: More Expressive Generative Flows with Variational Data Augmentation
- A Chance-Constrained Generative Framework for Sequence Optimization
- On Breaking Deep Generative Model-based Defenses and Beyond
- Generative Flows with Matrix Exponential
- Invertible generative models for inverse problems: mitigating representation error and dataset bias
- Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
- Scalable Deep Generative Modeling for Sparse Graphs
- A Generative Model for Molecular Distance Geometry
- Intrinsic Reward Driven Imitation Learning via Generative Model
- On the Power of Compressed Sensing with Generative Models
- Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
- Sequential Transfer in Reinforcement Learning with a Generative Model
- Optimizing Dynamic Structures with Bayesian Generative Search
- Learning and Simulation in Generative Structured World Models
- Evaluating Lossy Compression Rates of Deep Generative Models
- Learning with Good Feature Representations in Bandits and in RL with a Generative Model
- Fair Generative Modeling via Weak Supervision
- Source Separation with Deep Generative Priors
- Generative Pretraining From Pixels
- Conditional Augmentation for Generative Modeling
- Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
- Equivariant Flows: exact likelihood generative learning for symmetric densities.
- PolyGen: An Autoregressive Generative Model of 3D Meshes
- Transformation GAN for Unsupervised Image Synthesis and Representation Learning
- Alleviation of Gradient Exploding in GANs: Fake Can Be Real
- Learning to Simulate Dynamic Environments With GameGAN
- Image Processing Using Multi-Code GAN Prior
- ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
- DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
- Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation
- Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses
- GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes
- Controllable Person Image Synthesis With Attribute-Decomposed GAN
- PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
- GAN Compression: Efficient Architectures for Interactive Conditional GANs
- The GAN That Warped: Semantic Attribute Editing With Unpaired Data
- CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
- CookGAN: Causality Based Text-to-Image Synthesis
- MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
- AdversarialNAS: Adversarial Neural Architecture Search for GANs
- Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
- UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
- Editing in Style: Uncovering the Local Semantics of GANs
- Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects
- StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
- Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
- MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
- ManiGAN: Text-Guided Image Manipulation
- Analyzing and Improving the Image Quality of StyleGAN
- ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes
- StarGAN v2: Diverse Image Synthesis for Multiple Domains
- Image2StyleGAN++: How to Edit the Embedded Images?
- BachGAN: High-Resolution Image Synthesis From Salient Object Layout
- On Positive-Unlabeled Classification in GAN
- Interpreting the Latent Space of GANs for Semantic Face Editing
- MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
- LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
- RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge
- SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
- RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
- Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
- StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
- PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation
- Prior Guided GAN Based Semantic Inpainting
- Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
- SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
- PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
- Diverse Image Generation via Self-Conditioned GANs
- Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models