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- W2896006112 abstract "Post-capture control of the focus position of an image is a useful photographic tool. Changing the focus of a single image involves the complex task of simultaneously estimating the radiance and the defocus radius of all scene points. We introduce RefocusGAN, a deblur-then-reblur approach to single image refocusing. We train conditional adversarial networks for deblurring and refocusing using wide-aperture images created from light-fields. By appropriately conditioning our networks with a focus measure, an in-focus image and a refocus control parameter $$delta $$ , we are able to achieve generic free-form refocusing over a single image." @default.
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- W2896006112 date "2018-01-01" @default.
- W2896006112 modified "2023-09-25" @default.
- W2896006112 title "RefocusGAN: Scene Refocusing Using a Single Image" @default.
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- W2896006112 doi "https://doi.org/10.1007/978-3-030-01225-0_31" @default.
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