AI RESEARCH

Beyond Boundary Frames: Context-Centric Video Interpolation with Audio-Visual Semantics

arXiv CS.CV

ArXi:2512.03590v2 Announce Type: replace Video frame interpolation has long been challenged by limited controllability and interactivity, especially in scenarios involving fast, highly non-linear, and fine-grained motion. Although recent interactive interpolation methods have made progress, they remain largely boundary-centric and ignore auxiliary contextual signals beyond the start and end frames, leading to outputs that deviate from user-intended objectives. To address this issue, we reformulate VFI from a boundary-centric task into a context-centric generation problem.