Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

A Euclidean diffusion model for structure-based drug design.

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

Creating a diffusion model from scratch in PyTorch to learn exactly how they work.

A minimal implementation of diffusion models for text generation

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Emote Portrait Alive - using ai to reverse engineer code from white paper. (abandoned)

CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

Pytorch implementation of common image generation metrics.