Video Signature: Implicit Watermarking for Video Diffusion Models

TL;DR

This paper introduces VidSig, an implicit watermarking method for video diffusion models that embeds watermarks during generation, balancing video quality, robustness, and computational efficiency for reliable content tracing.

Contribution

VidSig is a novel implicit watermarking approach that fine-tunes the latent decoder with perturbation-aware suppression and temporal alignment, achieving high-quality, robust, and efficient video watermarking.

Findings

Achieves optimal trade-off between watermark accuracy and video quality.

Demonstrates robustness against spatial and temporal tampering.

Maintains stability across various video lengths and resolutions.

Abstract

The rapid development of Artificial Intelligence Generated Content (AIGC) has led to significant progress in video generation, but also raises serious concerns about intellectual property protection and reliable content tracing. Watermarking is a widely adopted solution to this issue, yet existing methods for video generation mainly follow a post-generation paradigm, which often fails to effectively balance the trade-off between video quality and watermark extraction. Meanwhile, current in-generation methods that embed the watermark into the initial Gaussian noise usually incur substantial additional computation. To address these issues, we propose \textbf{Video Signature} (\textsc{VidSig}), an implicit watermarking method for video diffusion models that enables imperceptible and adaptive watermark integration during video generation with almost no extra latency. Specifically, we partially fine-tune the latent decoder, where \textbf{Perturbation-Aware Suppression} (PAS) pre-identifies and freezes perceptually sensitive layers to preserve visual quality. Beyond spatial fidelity, we further enhance temporal consistency by introducing a lightweight \textbf{Temporal Alignment} module that guides the decoder to generate coherent frame sequences during fine-tuning. Experimental results show that \textsc{VidSig} achieves the best trade-off among watermark extraction accuracy, video quality, and watermark latency. It also demonstrates strong robustness against both spatial and temporal tamper, and remains stable across different video lengths and resolutions, highlighting its practicality in real-world scenarios.