TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs). Can be installed with pip using pip install tensorflow-gan, and used with import …

GAN在过去几年里已成为深度学习中最热门的子领域之一，Yann LeCun说GAN是过去10年机器学习最有趣的想法。 看完后，你应该对： GAN是什么 具体要做一个简单的GAN应该怎么做 …

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

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 …

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 …

GAN魔方logo 前言 大家好，我是 @桑德斯闪电 目前本人四阶魔方速拧官方排名全国第二（世界魔方协会ID：2018HUAN08），平均7秒复原三阶魔方，对各个魔方产品以及魔方性能指标有较 …

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 …

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 …

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, …

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, …