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Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Junhao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Richard Yu

2025-05-29

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

Summary

This paper talks about Safe-Sora, a new system that makes AI-generated videos safer and more trustworthy by adding invisible watermarks to them, so people can always tell if a video was made by a computer.

What's the problem?

The problem is that it's getting harder to know if a video is real or made by AI, which can lead to confusion, fake news, or even scams. Without a way to track or prove where a video came from, it's easy for people to be tricked by realistic-looking fake videos.

What's the solution?

The researchers created a method that hides special watermarks inside the video using advanced computer techniques. These watermarks can't be seen with the naked eye, but they can be detected later to prove the video's origin. The system also makes sure that the video still looks great and that the watermark stays in place, even if someone tries to change or edit the video.

Why it matters?

This is important because it helps everyone trust digital videos more, making it easier to spot fakes and keep people safe from misinformation or harmful content. It also gives creators and companies a way to protect their work and prove it's authentic.

Abstract

Safe-Sora embeds invisible watermarks into AI-generated videos using a hierarchical adaptive matching mechanism and a 3D wavelet transform-enhanced Mamba architecture, achieving top performance in video quality, watermark fidelity, and robustness.