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CVPR2025Top-tier venue

Generative Video Propagation

Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang, Qing Liu, Zhifei Zhang, Joon-Young Lee, Yijun Li, Bei Yu, Zhe Lin, Soo Ye Kim, Jiaya Jia

2025Year
23Top-tier citations

Abstract

Original Frame #1 Edited Frame #1 Input Video Frames (top) / Propagated by Ours (bottom) (b) Background Replacement (d) Object & Effect Tracking (e) Multiple Edits (a) Object & Effect Removal (c) Object Insertion 1 2 3 3 Figure 1. GenProp. We propose a generative video propagation framework (GenProp), which can seamlessly propagate any first frame edit through the video. GenProp supports a wide range of video applications, including (a) complete object removal with effects such as shadows and reflections, (b) background replacement with realistic effects, (c) object insertion where inserted objects have physically plausible motion (i.e., blueberries falling while spoon goes up), (d) tracking of objects and their associated effects, and (e) multiple edits (outpainting, insertion, removal) at a single inference run.

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