Angelos Kanlis, Vazgken Vanian, Sotiris Karvarsamis, Ioanna Gkika, Konstantinos Konstantoudakis, Dimitrios Zarpalas. SynthRSF: A Novel Photorealistic Synthetic Dataset for Adverse Weather Condition Denoising. In Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa, editors, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024. pages 567-574, SCITEPRESS, 2024. [doi]
@inproceedings{KanlisVKGKZ24,
title = {SynthRSF: A Novel Photorealistic Synthetic Dataset for Adverse Weather Condition Denoising},
author = {Angelos Kanlis and Vazgken Vanian and Sotiris Karvarsamis and Ioanna Gkika and Konstantinos Konstantoudakis and Dimitrios Zarpalas},
year = {2024},
doi = {10.5220/0012397700003660},
url = {https://doi.org/10.5220/0012397700003660},
researchr = {https://researchr.org/publication/KanlisVKGKZ24},
cites = {0},
citedby = {0},
pages = {567-574},
booktitle = {Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024},
editor = {Petia Radeva and Antonino Furnari and Kadi Bouatouch and A. Augusto de Sousa},
publisher = {SCITEPRESS},
isbn = {978-989-758-679-8},
}