Keras implementations of Generative Adversarial Networks.

Collection of generative models in Tensorflow

Learning Chinese Character style with conditional GAN

Deep Learning in Haskell

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Research Framework for easy and efficient training of GANs based on Pytorch

Generative Adversarial Networks (GANs) resources sorted by citations

Speech Enhancement Generative Adversarial Network in TensorFlow

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

CVPR 2019: "Pluralistic Image Completion"

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Implementation of Papers on Adversarial Examples

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

DGMs for NLP paper list

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

SteganoGAN is a tool for creating steganographic images using adversarial training.

Periodic Spatial Generative Adversarial Networks

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

An implementation of DiscoGAN in tensorflow

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

Semi-supervised Learning GAN