OmnimatteRF: Robust Omnimatte with 3D Background Modeling
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.
6503fa9724964747c8da58c1
Geng Lin
6503fa9724964747c8da58c2
Chen Gao
claimed_verified
2023-09-17T19:21:03.708Z
65049f41c6ae3df8f28cfe96
/avatars/a653ed4a215c4bd34710a1cee9f4d9cd.svg
Chen Gao
user
gaochen315
6503fa9724964747c8da58c3
Jia-Bin Huang
admin_assigned
2023-09-15T08:57:51.227Z
641c139b73296f7ee256970c
/avatars/5a2550d95e686640242840ad3bd0e680.svg
Jiabin Huang
user
YellowAddice
6503fa9724964747c8da58c4
Changil Kim
6503fa9724964747c8da58c5
Yipeng Wang
admin_assigned
2023-09-15T09:00:15.581Z
63bed1ca24e75d1efdfac4f6
/avatars/8243d88ce697bb6a0f1a585402fd3029.svg
Yipeng Wang
user
promyse
6503fa9724964747c8da58c6
Matthias Zwicker
6503fa9724964747c8da58c7
Ayush Saraf
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
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.
A novel video matting technique, OmnimatteRF, combines 2D foreground layers with a 3D background model to improve scene reconstruction in dynamic real-world videos.
video matting OmnimatteRF 2D foreground layers 3D background model scene reconstruction