AI RESEARCH

Preserve, Reveal, Expand: Faithful 4D Video Editing with Region-Aware Conditioning

arXiv CS.CV

ArXi:2605.20961v1 Announce Type: new Existing 4D-driven video diffusion models primarily target plausible generation, but faithful 4D editing requires preserving source-observed regions while synthesizing disoccluded or out-of-view content. We identify Evidence-Role Mismatch: reliable source-backed evidence, unreliable rendered cues, and uned regions are entangled in a single conditioning signal, causing preservation drift, ghosting, and unstable extrapolation.