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Self-Supervised Poisson-Gaussian Denoising
We extend the blindspot model for self-supervised denoising to handle Poisson-Gaussian noise and introduce an improved training scheme that avoids hyperparameters and adapts the denoiser to the test data. Self-supervised models for denoising learn to denoise from only noisy data and do not require c...
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| Publicat a: | IEEE Winter Conf Appl Comput Vis |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294668/ https://ncbi.nlm.nih.gov/pubmed/34296053 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/wacv48630.2021.00218 |
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