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Towards Unified Keyframe Propagation Models. (arXiv:2205.09731v1 [cs.CV])
May 20, 2022, 1:10 a.m. | Patrick Esser, Peter Michael, Soumyadip Sengupta
cs.CV updates on arXiv.org arxiv.org
Many video editing tasks such as rotoscoping or object removal require the
propagation of context across frames. While transformers and other
attention-based approaches that aggregate features globally have demonstrated
great success at propagating object masks from keyframes to the whole video,
they struggle to propagate high-frequency details such as textures faithfully.
We hypothesize that this is due to an inherent bias of global attention towards
low-frequency features. To overcome this limitation, we present a two-stream
approach, where high-frequency features interact …
More from arxiv.org / cs.CV updates on arXiv.org
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