Ultra Real-Time Portrait Matting via Parallel Semantic Guidance
Most existing portrait matting models either require expensive auxiliary information or try to decompose the task into sub-tasks that are usually resource-hungry. These challenges limit its application on low-power computing devices. In this paper, we propose an ultra-light-weighted portrait matting...
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Published in | ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1 - 5 |
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Main Authors | , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
04.06.2023
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Subjects | |
Online Access | Get full text |
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