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
[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
Awesome Domain Adaptation Python Toolbox
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
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
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