Awesome

Awsome-GAN-Training

A curated list of resources related to training of GANs

GAN Variants

Year	Conf	Code	Title
2014	NIPS	Pt+Tf	Vanilla-GAN - Generative Adversarial Networks
2017	ICCV	Pt+Tf	LS-GAN - Least Squares Generative Adversarial Networks
2017	ICML	Pt+Tf	WGAN - Wasserstein GAN
2017	NIPS	Pt+Tf	WGAN-GP - Improved Training of Wasserstein GANs
2019	ICLR	Pt	The relativistic discriminator: a key element missing from standard gan

Normalization, Network Architecture

Year	Conf	Code	Title
2017	CVPR	Torch,Pt	PatchGAN - Image-to-Image Translation with Conditional Adversarial Nets
2017	Arxiv		Megapixel Size Image Creation using Generative Adversarial Networks
2018	ICLR	Pt	SN-GAN - Spectral Normalization for Generative Adversarial Networks
2018	ICLR	Tf+Theano	Progressive Growing of GANs for Improved Quality, Stability, and Variation
2018	Arxiv		Efficient Super Resolution For Large-Scale Images Using Attentional GAN
2019	ICLR	Pt	BigGAN - Large Scale GAN Training for High Fidelity Natural Image Synthesis
2020	CVPR	Pt	A U-Net Based Discriminator for Generative Adversarial Networks
2020	CVPR	Pt	Analyzing and Improving the Image Quality of StyleGAN

Performance analysis and comparisons

Year	Conf	Code	Title
2016	NIPS	Pt	Improved Techniques for Training GANs
2017	ICLR		Towards Principled Methods for Training Generative Adversarial Networks
2017	Arxiv		On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
2017	Arxiv		Stabilizing Training of Generative Adversarial Networks through Regularization
2018	NIPS	Tf	Are GANs Created Equal? A Large-Scale Study
2018	NIPS	Tf	Assessing Generative Models via Precision and Recall
2019	ICML	Tf	High-Fidelity Image Generation With Fewer Labels
2019	ICML	Tf	A Large-Scale Study on Regularization and Normalization in GANs
2020	Arxiv		GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue

Misc

Year	Conf	Code	Title
2019	CVPR	Pt	Label-Noise Robust Generative Adversarial Networks
2019	ICCV	Pt	Singan: Learning a generative model from a single natural image
2020	Arxiv		Training Generative Adversarial Networks with Limited Data
2020	CVPR		Noise Robust Generative Adversarial Networks
2020	Arxiv		A review on generative adversarial networks: Algorithms, theory, and applications
2020	Arxiv		Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
2020	Arxiv	Pt	Improved techniques for training single-image gans

Hacks

ganhacks
2016 - Deconvolution and Checkerboard Artifacts. Link
2018-ECCVW - ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. [Paper]
- First work to apply relativistic discriminator for image super-resolution.
- Batch normalization (BN) can generate artifacts when the generator goes deeper or there is an extra BN layer in HR (high-resolution) space.
Tips for Training Stable GANs
Getting Started With GANs
How generative adversarial networks and their variants work: An overview
Instance Noise: A trick for stabilising GAN training

Other Resources