Table of Links
Supplementary Material
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Image matting
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Video matting
3. MaGGIe
We introduce our efficient instance matting framework guided by instance binary masks, structured into two parts. The first Sec. 3.1 details our novel architecture to maintain accuracy and efficiency. The second Sec. 3.2 describes our approach for ensuring temporal consistency across frames in video processing.
3.1. Efficient Masked Guided Instance Matting
In cross-attention (CA), Q and (K, V) originate from different sources, whereas in self-attention (SA), they share similar information.
where {; } denotes concatenation along the feature dimension, and G is a series of sparse convolutions with sigmoid activation.
Authors:
(1) Chuong Huynh, University of Maryland, College Park ([email protected]);
(2) Seoung Wug Oh, Adobe Research (seoh,[email protected]);
(3) Abhinav Shrivastava, University of Maryland, College Park ([email protected]);
(4) Joon-Young Lee, Adobe Research ([email protected]).
This paper is