Paper: coming soon | Project Page | Video
Yuekun Dai, Yihang Luo, Shangchen Zhou, Chongyi Li, Chen Change Loy
S-Lab, Nanyang Technological University
- 2022.03.22: Our BracketFlare dataset and pretrained model is uploaded to the Google Drive and Baidu Netdisk now.
- 2022.03.21: Our paper is selected as a highlight (top2.5%) at CVPR 2023.
- 2022.03.17: This repo is created.
- 2023.02.28: Our paper Nighttime Smartphone Reflective Flare Removal using Optical Center Symmetry Prior is accepted by the CVPR2023 with 3 top ratings. 🤗
Baidu Netdisk | Google Drive | Number | Description | |
---|---|---|---|---|
BracketFlare | link | link | 440 | We offer 440 normal-exposure and short-exposure nighttime image pairs. Short exposure images can be added to the corresponding normal-exposure image to synthesize the flare-corrupted image. |
├── BracketFlare
├── flare
├── gt
├── test
├── flare
├── gt
├── mask
├── lq
The inference code based on MPRNet is released Now. You can download the pretrained checkpoints on [GoogleDrive | Baidu Netdisk]. Please place it under the experiments
folder and unzip it.
To generate the flare-free images from the test/lq
folder, you can run the test.py
by using:
python test.py --i test/lq/ --o results/ --model_path expirements/net_g_last.pth
To calculate different metrics with our pretrained model, you can run the evaluate.py
by using:
python evaluate.py --input result/deflare/ --gt test/gt --mask test/mask
This project is licensed under S-Lab License 1.0. Redistribution and use of the dataset and code for non-commercial purposes should follow this license.
If you find this work useful, please cite:
@inproceedings{dai2023nighttime,
title={Nighttime Smartphone Reflective Flare Removal using Optical Center Symmetry Prior},
author={Dai, Yuekun and Luo, Yihang and Zhou, Shangchen and Li, Chongyi and Loy, Chen Change},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023}
}
If you have any question, please feel free to reach me out at [email protected]
.