Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems
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Updated
May 24, 2024 - MATLAB
Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
SwinIR: Image Restoration Using Swin Transformer (official repository)
Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024)
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
The official GitHub page for the paper "Single Stage Adaptive Multi-Attention Network for Image Restoration"
[CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
A Collection of Low Level Vision Research Groups
The state-of-the-art image restoration model without nonlinear activation functions.
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
[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
Abnormal Images & Videos Dataset
IMC_Denoise: a software package to enhance Imaging Mass Cytometry - Nature Communications
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
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