CVPR2020
Fast Soft Color Segmentation
Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
Abstract
pha channel layers. By leveraging a novel training objective, our method achieves proper assignment of colors amongst layers. As a consequence, our method achieve promising quality without existing issue of inference speed for iterative approaches. Our thorough experimental analysis shows that our method produces qualitative and quantitative results comparable to previous methods while achieving a 300,000x speed improvement. Finally, we utilize our proposed method on several applications, and demonstrate its speed advantage, especially in video editing.