This is an implementation of the following paper.
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning. AAAI Conference on Artificial Intelligence, (AAAI'2023)
1.IIW_Download OR IIW
4.ShapeNet (https://github.com/JannerM/intrinsics-network)
1.SRD (train BaiduNetdisk and test).
2.USR
2.[ShapeNet]
Renjiao Yi, Ping Tan and Stephen Lin, "Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation", AAAI 2020.
Get the following Figure 6 in the main paper,
demo_spfree_release.m
The code and models in this repository are licensed under the MIT License for academic and other non-commercial uses.
For commercial use of the code and models, separate commercial licensing is available. Please contact:
- Yeying Jin (jinyeying@u.nus.edu)
- Robby T. Tan (tanrobby@gmail.com)
- Jonathan Tan (jonathan_tano@nus.edu.sg)
If this work is useful for your research, please cite our paper.
@inproceedings{jin2023estimating,
title={Estimating reflectance layer from a single image: Integrating reflectance guidance and shadow/specular aware learning},
author={Jin, Yeying and Li, Ruoteng and Yang, Wenhan and Tan, Robby T},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={37},
number={1},
pages={1069--1077},
year={2023}
}