Self-supervised matting-specific portrait enhancement and generation

• Main Authors: XU, Yangyang, ZHOU, Zeyang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Space exploration; Codes; Data models; Semantics; Entropy; Predictive models; Generative adversarial networks; Alpha matting; latent space; generative model; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7880
• Institution: Singapore Management University

We resolve the ill-posed alpha matting problem from a completely different perspective. Given an input portrait image, instead of estimating the corresponding alpha matte, we focus on the other end, to subtly enhance this input so that the alpha matte can be easily estimated by any existing matting...