Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

GLIDE: a diffusion-based text-conditional image synthesis model

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Implementation of Denoising Diffusion Probabilistic Models in PyTorch

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Release for Improved Denoising Diffusion Probabilistic Models

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Official PyTorch implementation of StyleGAN3

Code source of the paper "Gradient Terrain Authoring" - EG 2022

ACM-MM2019

Official Implementation for "Transferring Unconditional to Conditional GANs with Hyper-Modulation" CVPRW 22 https://arxiv.org/abs/2112.02219

Image-to-Image Translation in PyTorch

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

ECCV2018

Unofficial solutions to Understanding Analysis by Stephen Abbott (1st Edition)

A collection of algorithms and data structures