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arXiv · 2605.20961

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

Zhangchi Hu·Wenzhang Sun·Xiangchen Yin·Jiahui Yuan·Chunfeng Wang·Hao Li·Kun Zhan·Xiaoyan Sun
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Abstract

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 unsupported regions are entangled in a single conditioning signal, causing preservation drift, ghosting, and unstable extrapolation. We propose PREX (Preserve, Reveal, Expand), a region-aware framework that decomposes the target spatiotemporal volume into Preserve, Reveal, and Expand roles according to observation support and scene extent. PREX builds observation-backed appearance cues with calibrated confidence and injects them into a frozen video diffusion backbone through a region-aware adapter, trained with proxy tasks without requiring paired edited videos. We further introduce PREBench, a diagnostic benchmark with curated edits, region-role masks, and human-aligned metrics that complement global video-quality and 4D-control evaluations. Experiments show that PREX reduces region-structured failures while maintaining strong visual quality and 4D edit control capability. Project Page: https://ricepastem.github.io/PREX-Open

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Zhangchi Hu, Wenzhang Sun, Xiangchen Yin, Jiahui Yuan, Chunfeng Wang, Hao Li, Kun Zhan, Xiaoyan Sun. 2026-05-20. Preserve, Reveal, Expand: Faithful 4D Video Editing with Region-Aware Conditioning. https://arxiv.org/abs/2605.20961

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