Image-to-Image Translation in PyTorch

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

A list of all named GANs!

Toward Multimodal Image-to-Image Translation

Collection of generative models in Pytorch version.

A mix of GAN implementations including progressive growing

The implementation of StyleGAN on PyTorch 1.0.1

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".

Semantic Image Synthesis with SPADE

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

Official PyTorch implementation of StyleGAN3