Popular GitHub Repositories for Image Denoising

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

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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

The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".

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

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

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)

"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

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

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Deep Graph-Convolutional Image Denoising

Code for the paper "Pyramid Real Image Denoising Network"

On-Demand Learning for Deep Image Restoration (ICCV 2017)