MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure

• URL: http://arxiv.org/abs/2509.00757v1
• Date: Sun, 31 Aug 2025 09:12:06 GMT
• Title: MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure
• Authors: Xiufeng Huang, Ziyuan Luo, Qi Song, Ruofei Wang, Renjie Wan,
• Abstract summary: Current 3DGS watermarking methods rely on computationally expensive fine-tuning procedures for each predefined message.<n>We propose the first generalizable watermarking framework that enables efficient protection of Splatter Image-based 3DGS models through a single forward pass.
• Score: 27.59237608604465
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The growing popularity of 3D Gaussian Splatting (3DGS) has intensified the need for effective copyright protection. Current 3DGS watermarking methods rely on computationally expensive fine-tuning procedures for each predefined message. We propose the first generalizable watermarking framework that enables efficient protection of Splatter Image-based 3DGS models through a single forward pass. We introduce GaussianBridge that transforms unstructured 3D Gaussians into Splatter Image format, enabling direct neural processing for arbitrary message embedding. To ensure imperceptibility, we design a Gaussian-Uncertainty-Perceptual heatmap prediction strategy for preserving visual quality. For robust message recovery, we develop a dense segmentation-based extraction mechanism that maintains reliable extraction even when watermarked objects occupy minimal regions in rendered views. Project page: https://kevinhuangxf.github.io/marksplatter.

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