Robust Reflection Removal with Reflection-free Flash-only Cues (RFC)
Paper | To be released: Project Page | Video | Data
Tensorflow implementation for:
Robust Reflection Removal with Reflection-free Flash-only Cues
Chenyang Lei, Qifeng Chen
HKUST
in CVPR 2021
To Do
- Release test code
- Prepare paper and upload to arxiv
- Make project page
- Release training code
- Release dataset
- Release raw data processing code
TL;DR quickstart
To setup a conda environment, test on demo data:
conda env create -f environment.yml
conda activate flashrr-rfc
bash download.sh
python test.py
Setup
Environment
This code is based on tensorflow. It has been tested on Ubuntu 18.04 LTS.
Anaconda is recommended: Ubuntu 18.04 | Ubuntu 16.04
After installing Anaconda, you can setup the environment simply by
conda env create -f environment.yml
Download checkpoint and VGG model
Download the ckpt and VGG model by
bash download.sh
What is a RFC (Reflection-free Flash-only Cue)?
We propose a simple yet effective reflection-free cue for robust reflection removal from a pair of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image obtained by subtracting the ambient image from the corresponding flash image in raw data space. The flash-only image is equivalent to an image taken in a dark environment with only a flash on.
Citation
If you find our work useful for your research, please consider citing the following papers :)
@misc{lei2021robust,
title={Robust Reflection Removal with Reflection-free Flash-only Cues},
author={Chenyang Lei and Qifeng Chen},
year={2021},
eprint={2103.04273},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
or
@InProceedings{Lei_2021_RFC,
title={Robust Reflection Removal with Reflection-free Flash-only Cues},
author={Chenyang Lei and Qifeng Chen},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021}
}
If you are also interested in the polarization reflection removal, please refer to this work.
Contact
Please contact me if there is any question (Chenyang Lei, [email protected])
License
TBD