Awesome paper list with code about generative adversarial nets
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Updated
Oct 31, 2022
Awesome paper list with code about generative adversarial nets
Generative Adversarial Networks (GANs) resources sorted by citations
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
A-Fast-RCNN (CVPR 2017)
Implementation of Papers on Adversarial Examples
Awesome Domain Adaptation Python Toolbox
EANN: event-adversarial neural networks for multi-modal fake news detection
Tensorflow implementation of Adversarial Autoencoders
Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
Assessing Generative Models via Precision and Recall (official repository)
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