GitHub

Zixuan Chen, Guangcong Wang, Jiahao Zhu, Jianhuang Lai, Xiaohua Xie.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

TL;DR: GuardSplat is an efficient watermarking framework to protect the copyright of 3DGS assets. It presents superior performance to state-of-the-art watermarking approaches in capacity, invisibility, robustness, security, and training efficiency.


ArXiv CVPR Projectpage YouTube

framework

Application scenarios of GuardSplat. To protect the copyright of 3D Gaussian Splatting (3DGS) assets, (a) the owners (Alice) can use our GuardSplat to embed the secret message (blue key) into these models. (b) If malicious users (Bob) render views for unauthorized uses, (c) Alice can use the private message decoder to extract messages (purple key) for copyright identification.

Framework

framework

Overview of GuardSplat. (a) Given a binary message

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