2 papers
eess.IV2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?
Valéry Dewil, Aranud Barral, Gabriele Facciolo +1
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-cle…
cs.CV2020
Self-Supervised training for blind multi-frame video denoising
Valéry Dewil, Jérémy Anger, Axel Davy +3
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 approa…