Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Reproducible Image Denoising State Of The Art | 1,759 | 2 years ago | 4 | |||||||
Collection of popular and reproducible image denoising works. | ||||||||||
Pyflow | 478 | 5 years ago | 19 | other | C++ | |||||
Fast, accurate and easy to run dense optical flow with python wrapper | ||||||||||
Closed Form Matting | 419 | a year ago | mit | Python | ||||||
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York | ||||||||||
Wb_srgb | 240 | a year ago | 2 | other | MATLAB | |||||
White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python] | ||||||||||
Shadesketch | 193 | 4 years ago | mit | Python | ||||||
Implementation of "Learning to Shadow Hand-drawn Sketches" CVPR 2020 (Oral) | ||||||||||
Curl | 162 | 2 years ago | Jupyter Notebook | |||||||
Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement" | ||||||||||
Knn Matting | 95 | 6 years ago | 4 | mit | Python | |||||
Python implementation of KNN Matting, CVPR 2012 / TPAMI 2013 http://dingzeyu.li/projects/knn/ | ||||||||||
Restoring Extremely Dark Images In Real Time | 86 | 2 years ago | 2 | other | Python | |||||
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time" | ||||||||||
Operation Wise Attention Network | 74 | 5 years ago | 5 | mit | Python | |||||
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019) | ||||||||||
Two Stage Knowledge For Multiple Adverse Weather Removal | 65 | 2 years ago | 1 | mit | Python | |||||
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model |