Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Molodetskikh, Ivan"'
Autor:
Molodetskikh, Ivan, Borisov, Artem, Vatolin, Dmitriy, Timofte, Radu, Liu, Jianzhao, Zhi, Tianwu, Zhang, Yabin, Li, Yang, Xu, Jingwen, Liao, Yiting, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Cao, Yuqin, Sun, Wei, Zhang, Weixia, Sun, Yinan, Jia, Ziheng, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, Luo, Weihua, Z., Yupeng, Y, Hong
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA me
Externí odkaz:
http://arxiv.org/abs/2410.04225
Perceptual losses play an important role in constructing deep-neural-network-based methods by increasing the naturalness and realism of processed images and videos. Use of perceptual losses is often limited to LPIPS, a fullreference method. Even thou
Externí odkaz:
http://arxiv.org/abs/2405.20392
In recent years, there has been significant interest in Super-Resolution (SR), which focuses on generating a high-resolution image from a low-resolution input. Deep learning-based methods for super-resolution have been particularly popular and have s
Externí odkaz:
http://arxiv.org/abs/2305.04844
Upscaled video detection is a helpful tool in multimedia forensics, but it is a challenging task that involves various upscaling and compression algorithms. There are many resolution-enhancement methods, including interpolation and deep-learning-base
Externí odkaz:
http://arxiv.org/abs/2205.10406
We propose a novel neural-network-based method to perform matting of videos depicting people that does not require additional user input such as trimaps. Our architecture achieves temporal stability of the resulting alpha mattes by using motion-estim
Externí odkaz:
http://arxiv.org/abs/2109.04843
The field of automatic image inpainting has progressed rapidly in recent years, but no one has yet proposed a standard method of evaluating algorithms. This absence is due to the problem's challenging nature: image-inpainting algorithms strive for re
Externí odkaz:
http://arxiv.org/abs/1907.06296
Publikováno v:
In Digital Signal Processing 30 June 2022 126
We developed a super-resolution (SR) benchmark to analyze SR's capacity to upscale compressed videos. Our dataset employed video codecs based on five compression standards: H.264, H.265, H.266, AV1, and AVS3. We assessed 17 state-ofthe-art SR models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00862b2742a2f7629a2aa1d026587bca
http://arxiv.org/abs/2305.04844
http://arxiv.org/abs/2305.04844
Autor:
Barbato, Luca, Barr, David M., Molodetskikh, Ivan, Montgomery, Christopher 'Monty', Shreevari S. P., Zumer, Raphaël A., Egge, Nathan E.
Publikováno v:
Proceedings of SPIE; 7/19/2019, Vol. 11137, p1-8, 8p
Autor:
Tescher, Andrew G., Ebrahimi, Touradj, Barbato, Luca, Barr, David M., Molodetskikh, Ivan, Montgomery, Christopher, S. P., Shreevari, Zumer, Raphaël A., Egge, Nathan E.
Publikováno v:
Proceedings of SPIE; September 2019, Vol. 11137 Issue: 1 p111370L-111370L-8, 1002339p