Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network

There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracted attention because constructing a large real noise dataset for supervised training is an enormous burden. The most repr...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Yeong Il Jang, Lee, Keuntek, Gu Yong Park, Kim, Seyun, Cho, Nam Ik
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets Pixels Training Upper bounds
Online-Zugang:	Volltext
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