Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dewil, Valéry"'
Autor:
Dewil, Valéry, Zheng, Zhe, Barral, Arnaud, Raad, Lara, Nicolas, Nao, Cassagne, Ioannis, Morel, Jean-michel, Facciolo, Gabriele, Galerne, Bruno, Arias, Pablo
MIMO (multiple input, multiple output) approaches are a recent trend in neural network architectures for video restoration problems, where each network evaluation produces multiple output frames. The video is split into non-overlapping stacks of fram
Externí odkaz:
http://arxiv.org/abs/2408.12439
Supervised training has led to state-of-the-art results in image and video denoising. However, its application to real data is limited since it requires large datasets of noisy-clean pairs that are difficult to obtain. For this reason, networks are o
Externí odkaz:
http://arxiv.org/abs/2204.11493
We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict frame t from a window of frames around t. Our self-supervised approach benefits from the video temporal consistency by penalizing a loss b
Externí odkaz:
http://arxiv.org/abs/2004.06957
Publikováno v:
WACV 2021-Winter Conference on Applications of Computer Vision
WACV 2021-Winter Conference on Applications of Computer Vision, Jan 2021, Waikoloa (Hawaï) (virtual), United States. ⟨10.1109/WACV48630.2021.00277⟩
WACV 2021-Winter Conference on Applications of Computer Vision, Jan 2021, Waikoloa (Hawaï) (virtual), United States. ⟨10.1109/WACV48630.2021.00277⟩
We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict each frame from a stack of frames around it. Our selfsupervised approach benefits from the temporal consistency in the video by minimizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1398::c04045d1ad65d71461e6a9efd902b1e6
https://hal.science/hal-03189158
https://hal.science/hal-03189158