POBEVM: Real-time Video Matting via Progressively Optimize the Target Body and Edge

arXiv:2402.09731v1 Announce Type: new
Abstract: Deep convolutional neural networks (CNNs) based approaches have achieved great performance in video matting. Many of these methods can produce accurate alpha estimation for the target body but typically yield fuzzy or incorrect target edges. This is usually caused by the following reasons: 1) The current methods always treat the target body and edge indiscriminately; 2) Target body dominates the whole target with only a tiny proportion target edge. For the first problem, we propose …

abstract alpha arxiv cnns convolutional neural networks cs.cv cs.ir edge networks neural networks performance real-time type via video