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CVPR2025Top-tier venue

Generative Omnimatte: Learning to Decompose Video into Layers

Yao-Chih Lee, Erika Lu, Sarah Rumbley, Michal Geyer, Jia-Bin Huang, Tali Dekel, Forrester Cole

2025Year
16Top-tier citations

Abstract

Input video Output: Omnimatte layers Object removal Layer editing See-through foreground Motion retiming Layer resizing + background replacement ActionShot (duplicating + retiming) Figure 1 . Generative Omnimatte. Our method decomposes a video into a set of RGBA omnimatte layers, where each layer consists of a fully-visible object and its associated effects like shadows and reflections. We improve upon existing work by adding a generative video prior, allowing our method to complete occluded regions (top, middle) and handle dynamic backgrounds (bottom).

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