image-denoising
There are 264 repositories under image-denoising topic.
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
wenbihan/reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
megvii-research/NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
swz30/MPRNet
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
Kobaayyy/Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
LujiaJin/One-Pot_Multi-Frame_Denoising
The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".
swz30/MIRNet
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
cszn/SCUNet
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
cszn/IRCNN
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
mv-lab/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
Algolzw/daclip-uir
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
GuoShi28/CBDNet
Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019
swz30/CycleISP
[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
cszn/FFDNet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
jiaxi-jiang/FBCNN
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
swz30/MIRNetv2
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
wbhu/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
saeed-anwar/RIDNet
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
va1shn9v/PromptIR
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
Jackpopc/aiLearnNotes
Artificial Intelligence Learning Notes.
murufeng/FUIR
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
haoyuc/MaskedDenoising
[CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132
Kobaayyy/Awesome-ICCV2021-Low-Level-Vision
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
hellloxiaotian/BRDNet
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
FanChiMao/SUNet
SUNet: Swin Transformer with UNet for Image Denoising
zhangyi-3/KBNet
KBNet: Kernel Basis Network for Image Restoration
Ding-Liu/NLRN
Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
Kobaayyy/Awesome-ECCV2020-Low-Level-Vision
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
caiyuanhao1998/PNGAN
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
hellloxiaotian/ADNet
Attention-guided CNN for image denoising(Neural Networks,2020)
lychengrex/Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
yjn870/REDNet-pytorch
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)