AI RESEARCH
Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
arXiv CS.AI
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ArXi:2604.14648v1 Announce Type: cross Video outpainting aims to expand the visible content of a video beyond the original frame boundaries while preserving spatial fidelity and temporal coherence across frames. Existing methods primarily rely on large-scale generative models, such as diffusion models. However, generationbased approaches suffer from implicit temporal modeling and limited spatial context. These limitations lead to intraframe and inter-frame inconsistencies, which become particularly pronounced in dynamic scenes and large outpainting scenarios.