Orhlr-net: one-stage residual learning network for joint single-image specular highlight detection and removal
Author:
Funder
中国中兴通讯公司
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03607-9.pdf
Reference40 articles.
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3. Jing, J., Liu, S., Wang, G., Zhang, W., Sun, C.: Recent advances on image edge detection: A comprehensive review. Neurocomputing 503, 259–271 (2022). https://doi.org/10.1016/j.neucom.2022.06.083
4. Chang, C., Zhang, Z., Gao, N., Meng, Z.: Improved infrared phase measuring deflectometry method for the measurement of discontinuous specular objects. Opt. Lasers Eng. 134, 106194 (2020). https://doi.org/10.1016/j.optlaseng.2020.106194
5. Muhammad, S., Dailey, M.N., Farooq, M., Majeed, M.F., Ekpanyapong, M.: Spec-net and spec-cgan: Deep learning models for specularity removal from faces. Image Vis. Comput. 93, 103823 (2020). https://doi.org/10.1016/j.imavis.2019.11.001
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