Robust Human Matting via Semantic Guidance

Automatic human matting is highly desired for many real applications. We investigate recent human matting methods and show that common bad cases happen when semantic human segmentation fails. This indicates that semantic understanding is crucial for robust human matting. From this, we develop a fast...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Chen, Xiangguang, Zhu, Ye, Li, Yu, Fu, Bingtao, Sun, Lei, Shan, Ying, Liu, Shan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computing costs Image segmentation Mattes Robustness Semantics Source code Weight reduction
Online-Zugang:	Volltext
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