OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Geng Lin Chen Gao Jia-Bin Huang Changil Kim Yipeng Wang Matthias Zwicker Ayush Saraf
Video matting has broad applications, from adding interesting effects to
casually captured movies to assisting video production professionals. Matting
with associated effects such as shadows and reflections has also attracted
increasing research activity, and methods like Omnimatte have been proposed to
separate dynamic foreground objects of interest into their own layers. However,
prior works represent video backgrounds as 2D image layers, limiting their
capacity to express more complicated scenes, thus hindering application to
real-world videos. In this paper, we propose a novel video matting method,
OmnimatteRF, that combines dynamic 2D foreground layers and a 3D background
model. The 2D layers preserve the details of the subjects, while the 3D
background robustly reconstructs scenes in real-world videos. Extensive
experiments demonstrate that our method reconstructs scenes with better quality
on various videos.