| wenbihan/reproducible-image-denoising-state-of-the-art |
1,759 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
|
|
| Collection of popular and reproducible image denoising works. |
| MarcoForte/closed-form-matting |
419 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
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 |
| mahmoudnafifi/WB_sRGB |
240 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
other |
MATLAB |
| White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python] |
| qyzdao/ShadeSketch |
193 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of "Learning to Shadow Hand-drawn Sketches" CVPR 2020 (Oral) |
| sjmoran/CURL |
162 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement" |
| MarcoForte/knn-matting |
95 |
|
0 |
0 |
about 8 years ago |
0 |
|
4 |
mit |
Python |
| Python implementation of KNN Matting, CVPR 2012 / TPAMI 2013 http://dingzeyu.li/projects/knn/ |
| MohitLamba94/Restoring-Extremely-Dark-Images-In-Real-Time |
86 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
other |
Python |
| The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time" |
| sg-nm/Operation-wise-attention-network |
74 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Python |
| Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019) |
| fingerk28/Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal |
65 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| [CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model |
| Kobaayyy/Awesome-Low-Level-Vision-Research-Groups |
46 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
|
| A Collection of Low Level Vision Research Groups |
