🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Keras implementations of Generative Adversarial Networks.

Collection of generative models in Tensorflow

Learning Chinese Character style with conditional GAN

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

Deep Learning in Haskell

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

Generative Adversarial Transformers

[IEEE TIP] "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

Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

Speech Enhancement Generative Adversarial Network in TensorFlow

Generative Adversarial Networks (GANs) resources sorted by citations

A collection of awesome video generation studies.

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754

[CVPR 2019]: Pluralistic Image Completion

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

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

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Implementation of Papers on Adversarial Examples

DGMs for NLP. A roadmap.

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

A collection of awesome image inpainting studies.

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

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

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

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

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021