Abstract and 1. Introduction
Related Works
MaGGIe
3.1. Efficient Masked Guided Instance Matting
3.2. Feature-Matte Temporal Consistency
Instance Matting Datasets
4.1. Image Instance Matting and 4.2. Video Instance Matting
Experiments
5.1. Pre-training on image data
5.2. Training on video data
Discussion and References
\ Supplementary Material
Architecture details
Image matting
8.1. Dataset generation and preparation
8.2. Training details
8.3. Quantitative details
8.4. More qualitative results on natural images
Video matting
9.1. Dataset generation
9.2. Training details
9.3. Quantitative details
9.4. More qualitative results
We propose to enhance temporal consistency at both feature and alpha matte levels.
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:::info Authors:
(1) Chuong Huynh, University of Maryland, College Park (chuonghm@cs.umd.edu);
(2) Seoung Wug Oh, Adobe Research (seoh,jolee@adobe.com);
(3) Abhinav Shrivastava, University of Maryland, College Park (abhinav@cs.umd.edu);
(4) Joon-Young Lee, Adobe Research (jolee@adobe.com).
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:::info This paper is available on arxiv under CC by 4.0 Deed (Attribution 4.0 International) license.
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