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pro vyhledávání: '"Jay Whang"'
Autor:
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Image deblurring is an ill-posed problem with multiple plausible solutions for a given input image. However, most existing methods produce a deterministic estimate of the clean image and are trained to minimize pixel-level distortion. These metrics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41bdc7caf5b41c370b3c9d2b401bf330
http://arxiv.org/abs/2112.02475
http://arxiv.org/abs/2112.02475
Publikováno v:
2021 IEEE Data Science and Learning Workshop (DSLW).
Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods tend to be sensitive to inaccuracies and may lead to poor performance when real systems display complex or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a6533e0c0b78ca9d0198af8d492927
https://doi.org/10.1109/dslw51110.2021.9523403
https://doi.org/10.1109/dslw51110.2021.9523403
Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that represent the underlying physics, prior information and additional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f254001916c4f1ed616d4454263fe5
http://arxiv.org/abs/2012.08405
http://arxiv.org/abs/2012.08405