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PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"

Curated list of project-based tutorials

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

LPIPS metric. pip install lpips

A collection of resources and papers on Diffusion Models

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Pytorch❤️ Keras 😋😋

This repo includes ChatGPT prompt curation to use ChatGPT better.

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.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

The state-of-the-art image restoration model without nonlinear activation functions.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

KBNet: Kernel Basis Network for Image Restoration

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty

Measures and metrics for image2image tasks. PyTorch.

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

Fast and differentiable MS-SSIM and SSIM for pytorch.

[ECCV 2022] "Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model" by Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley Chan.

A curated list of resources for Image and Video Deblurring

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"