There are 58 repositories under image-denoising topic.
SwinIR: Image Restoration Using Swin Transformer (official repository)
Collection of popular and reproducible image denoising works.
The state-of-the-art image restoration model without nonlinear activation functions.
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".
PyTorch code for "Controlling Vision-Language Models for Universal Image Restoration", ICLR 2024.
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
Artificial Intelligence Learning Notes.
[CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
Attention-guided CNN for image denoising(Neural Networks,2020)
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)