2022
DOI: 10.1007/s11042-022-12514-x
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Alpha matting for portraits using encoder-decoder models

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Cited by 2 publications
(1 citation statement)
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“…LFM [38] proposes to use a dual-branch network to predict the segmentation of the foreground and the background, and then fuses the predictions to generate the final alpha matte. Srivastava et al [44] use an encoder-decoder network to directly predict the alpha matte. BSHM [43] employs three networks for segmentation, refinement, and matting processes, which enhances the estimated alpha mattes.…”
Section: Learning-based Matting Methodsmentioning
confidence: 99%
“…LFM [38] proposes to use a dual-branch network to predict the segmentation of the foreground and the background, and then fuses the predictions to generate the final alpha matte. Srivastava et al [44] use an encoder-decoder network to directly predict the alpha matte. BSHM [43] employs three networks for segmentation, refinement, and matting processes, which enhances the estimated alpha mattes.…”
Section: Learning-based Matting Methodsmentioning
confidence: 99%