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UniVOE: A Removal-Driven Framework for Interaction-Aware Universal Video Object Editing

Paper recorded by Signals 4 on 2026-10-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CV · 计算机视觉 · first seen 2026-10-23

Abstract

Video object removal and injection are reciprocal editing operations between object-present and object-absent video states, yet they differ substantially in training difficulty. Removal can be effectively bootstrapped from video inpainting and further adapted to erase object-related interaction effects. Injection, however, requires large-scale paired supervision to model object appearance, dynamic

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#178 most recent of 756 cs.CV papers we have recorded · ↑ newer: GigaBench: Benchmarking Learnable Representations for Gigapixel Image · ↓ older: WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusio
Cite this page: UniVOE: A Removal-Driven Framework for Interaction-Aware Universal Video Object Editing: the #178 most recent of 756 cs.CV papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/univoe-a-removal-driven-framework-for-interaction-aware-universal-video-object-e.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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