O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing

• URL: http://arxiv.org/abs/2509.01596v1
• Date: Mon, 01 Sep 2025 16:29:39 GMT
• Title: O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing
• Authors: Yuqing Chen, Junjie Wang, Lin Liu, Ruihang Chu, Xiaopeng Zhang, Qi Tian, Yujiu Yang,
• Abstract summary: O-DisCo-Edit is a unified framework that incorporates a novel object distortion control (O-DisCo)<n>This signal, based on random and adaptive noise, flexibly encapsulates a wide range of editing cues within a single representation.<n>O-DisCo-Edit enables efficient, high-fidelity editing through an effective training paradigm.
• Score: 88.93410369258203
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Diffusion models have recently advanced video editing, yet controllable editing remains challenging due to the need for precise manipulation of diverse object properties. Current methods require different control signal for diverse editing tasks, which complicates model design and demands significant training resources. To address this, we propose O-DisCo-Edit, a unified framework that incorporates a novel object distortion control (O-DisCo). This signal, based on random and adaptive noise, flexibly encapsulates a wide range of editing cues within a single representation. Paired with a "copy-form" preservation module for preserving non-edited regions, O-DisCo-Edit enables efficient, high-fidelity editing through an effective training paradigm. Extensive experiments and comprehensive human evaluations consistently demonstrate that O-DisCo-Edit surpasses both specialized and multitask state-of-the-art methods across various video editing tasks. https://cyqii.github.io/O-DisCo-Edit.github.io/

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