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.
A-Fast-RCNN (CVPR 2017)
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
EANN: event-adversarial neural networks for multi-modal fake news detection
Implementation of Papers on Adversarial Examples
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Awesome Domain Adaptation Python Toolbox
[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
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Tensorflow implementation of Adversarial Autoencoders
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Tensorflow implementation of adversarial auto-encoder for MNIST
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
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