The Progressive GAN code repository contains a command-line tool for recreating bit-exact replicas of the datasets that we used in the paper. The tool also provides various utilities for …

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 …

Apr 11, 2021 · Each type of GAN is contained in its own folder and has a make_GAN_TYPE function. For example, make_bigbigan creates a BigBiGAN with the format of the …

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 …

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, …

GAN Lab is a novel interactive visualization tool for anyone to learn and experiment with Generative Adversarial Networks (GANs), a popular class of complex deep learning models. …

Generative denoising diffusion models typically assume that the denoising distribution can be modeled by a Gaussian distribution. This assumption holds only for small denoising steps, …

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" …

基于深度生成对抗网络gan的图像修复模型. Contribute to tedqin/GAN-ImageRepairing development by creating an account on GitHub.

Oct 30, 2025 · GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.