Softmax GAN is a novel variant of Generative Adversarial Network (GAN). The key idea of Softmax GAN is to replace the classification loss in the original GAN with a softmax cross-entropy loss in the …

Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al. - brownvc/R3GAN

Dec 15, 2025 · gan Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator …

This repo contains PyTorch implementation of various GAN architectures. It's aimed at making it easy for beginners to start playing and learning about GANs. All of the repos I found do obscure things like …

Image-to-Image Translation in PyTorch. Contribute to junyanz/pytorch-CycleGAN-and-pix2pix development by creating an account on GitHub.

MAE_GAN In this project, we explore the use of Masked Autoencoder (MAE) in inpainting tasks. By combining MAE with GAN and using perceptual loss functions, we can obtain clear, detailed …

PU-GAN: a Point Cloud Upsampling Adversarial Network by Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng.

This repository is the official implementation of MI-GAN. MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi …

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs - lucidrains/gigagan-pytorch

Official TP-GAN Tensorflow implementation for the ICCV17 paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis" by Huang, …