Attention-guided CNN for image denoising(Neural Networks,2020)

Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

SUNet: Swin Transformer with UNet for Image Denoising

A Residual Dense U-net Neural Networkfor Image Denoising

Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.

Adaptive Consistency Prior based Deep Network for Image Denoising (CVPR 2021, Oral)

This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".

Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)

Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch structural similarity (SSIM) loss

[CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132

This repository includes implementation of CTformer on Low-dose CT Denoising

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

Deep Inversion Validation Library

Compute FID scores with PyTorch.

Optimal Transport Aggregation for Visual Place Recognition

POT : Python Optimal Transport

使用Github Action将国外的Docker镜像转存到阿里云私有仓库，供国内服务器使用，免费易用

Semantic Image Synthesis with SPADE

[CVPR 2022] Modulated Contrast for Versatile Image Synthesis