Diffusion-Models

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

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

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

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

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

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

A Euclidean diffusion model for structure-based drug design.

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

A minimal implementation of diffusion models for text generation