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Video matting has broad applications, from adding interesting effects tocasually captured movies to assisting video production professionals. Mattingwith associated effects such as shadows and reflections has also attractedincreasing research activity, and methods like Omnimatte have been proposed toseparate dynamic foreground objects of interest into their own layers. However,prior works represent video backgrounds as 2D image layers, limiting theircapacity to express more complicated scenes, thus hindering application toreal-world videos. In this paper, we propose a novel video matting method,OmnimatteRF, that combines dynamic 2D foreground layers and a 3D backgroundmodel. The 2D layers preserve the details of the subjects, while the 3Dbackground robustly reconstructs scenes in real-world videos. Extensiveexperiments demonstrate that our method reconstructs scenes with better qualityon various videos.

OmnimatteRF: Robust Omnimatte with 3D Background Modeling