Deep Interactive Video Inpainting: An Invisibility Cloak for Harry Potter
Cheng Chen, Jiayin Cai, Yao Guang Hu, Xu Tang, Xinggang Wang, Chun Yuan, Xiang Bai, Song Bai · 2021
In this paper, we propose a new task of deep interactive video inpainting and an application for users to interact with machines. To our best knowledge, this is the first deep learning-based interactive video inpainting framework that only uses a free form of user input as guidance (i.e. scribbles) instead of mask annotations, which has academic, entertainment, and commercial value.