arXiv cs.AI· Jiashu Zhang, Xuanyou Li, Qixin Zhang·· 13 小时前AI 评分31
PhaseBreak：针对未授权图生视频动画的主动时序保护方法
PhaseBreak: Proactive Temporal Protection against Unauthorized Image-to-Video Animation
AI 导读
PhaseBreak 是一种白盒频谱重定时保护方法，通过在图像发布前施加有界扰动，将中间去噪器特征匹配到其干净对应特征的受限时序重排，从而破坏下游运动生成。该方法沿真实时间轴操作，并用主体感知掩码将扰动限制在画面主体上。
正文 · 原文
Abstract:Image-to-Video (I2V) diffusion models can animate a single portrait or photograph, enabling shared images to be repurposed for motion synthesis without the subject's authorization. We study proactive visual protection against such use: before an image is released, its owner applies a bounded perturbation that preserves the sharing workflow but disrupts downstream motion generation. Existing spectral disruption objectives globally attenuate temporal representations and therefore provide limited control over subtle or spatially localized motion. Our key idea is that generated dynamics depend not only on temporal feature strength, but also on the order in which feature events occur. We propose PhaseBreak, a white-box spectral retiming protection method that matches intermediate denoiser features to a constrained temporal rearrangement of their clean counterparts. PhaseBreak operates along the true temporal axis and uses a subject-aware mask to confine the protective perturbation to the depicted subject. Evaluations on Stable Video Diffusion and DynamiCrafter show that protected images induce greater short-term motion variation and lower temporal regularity, impeding stable motion customization from the released image.
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.33070 [cs.CV] |
| (or arXiv:2610.33070v1 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2610.33070 arXiv-issued DOI via DataCite |
Submission history
From: Jiashu Zhang [view email]
[v1]
Tue, 20 Oct 2026 15:51:14 UTC (354 KB)
来源：arXiv cs.AI · arxiv.org