Sorry, you need to enable JavaScript to visit this website.

Image Alpha Matting via Residual Convolutional Grid Network

Citation Author(s):
Yang Zhou, Lei Chen, Jiying Zhao
Submitted by:
huizhen zhang
Last updated:
8 November 2019 - 1:26pm
Document Type:
Poster
Document Year:
2019
Event:
Presenters:
Huizhen Zhang
Paper Code:
1570567977
 

Alpha matting is an important topic in areas of computer vision. It has various applications, such as virtual reality, digital image and video editing, and image synthesis. Conventional approaches for alpha matting do not perform well when they encounter complicated background or when foreground and background color distributions overlap. It is also difficult to extract alpha matte accurately when the foreground objects are semi-transparent or hairy. In this paper, we propose a residual convolutional grid network for alpha matting, which deals with those matting problems well and has a performance comparable to the best image matting method in the literature. Meanwhile, the number of parameters in our method is less than one-third of the number of parameters in the best method.

up
0 users have voted: