Popular GitHub Repositories for Biggan

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

The author's officially unofficial PyTorch BigGAN implementation.

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

?A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

[CVPR 2022] Unsupervised Image-to-Image Translation with Generative Prior

Official implementation of FQ-GAN

Generate Amazing Anime Pictures With BigGAN. Just Have Fun !!!

Data Augmentation optimized for GAN

Create music videos using CLIP with BigGAN, DALL-E and StyleGAN

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

Pytorch implementation of BigGAN Generator with pretrained weights

利用人工智能模型实时将信号转换为图像

Converts signals to images in real time using AI models

Reimplementation of the Paper: Large Scale GAN Training for High Fidelity Natural Image Synthesis

A collection of awesome generative model papers, frameworks, libraries, software and resources for text, image, video, animation, code generation

Some recent state-of-the-art generative models in ONE notebook: (MIX-)?(GAN|WGAN|BigGAN|MHingeGAN|AMGAN|StyleGAN|StyleGAN2)(\+ADA|\+CR|\+EMA|\+GP|\+R1|\+SA|\+SN)*