Mark4D: Temporally-Consistent Watermarking for 4D Gaussian Splatting
Jaejin Lee, Minjae Jeong, Joonhyuk Park, Yechan Hwang, Seunghun Baek, Won Hwa Kim
摘要
Embedding invisible and temporally consistent watermarks into dynamic 4D Gaussian Splatting (4DGS) models poses unique challenges due to continuous spatio-temporal deformation of Gaussians and diverse motion dynamics. Existing 3DGS watermarking methods, which directly fine-tune parameters within Gaussian splats, fail to preserve geometric fidelity and temporal coherence when extended to 4D settings. In this regime, we propose Mark4D, a temporally consistent watermarking technique that achieves robust, imperceptible, and motion-aware watermark embedding for 4DGS. Mark4D comprises 1) a decoder for watermark recovery in the latent video-text space for robustness against pixel-level distortions, 2) trajectory-aligned offsets that embed watermark signals along Gaussian motion paths to preserve geometry, and 3) a motion-adaptive loss weighting strategy that balances supervision across frames with varying motion intensities. Extensive experiments on synthetic and real-world dynamic scene datasets demonstrate the effectiveness of our method, establishing a foundation for secure and reliable protection of dynamic 4D scene assets.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper27
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Dynamic View Synthesis from Dynamic Monocular VideoChen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin HuangICCV 2021 · 被引用 522 次
- 4D Gaussian Splatting for Real-Time Dynamic Scene RenderingGuanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie 等CVPR 2024 · 被引用 513 次
- The Stable Signature: Rooting Watermarks in Latent Diffusion ModelsPierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze 等ICCV 2023 · 被引用 370 次
- Neural Radiance Flow for 4D View Synthesis and Video ProcessingYilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum 等ICCV 2021 · 被引用 329 次
相关 Paper
- GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian SplattingXiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung 等NeurIPS 2024 · 被引用 38 次
- GuardSplat: Efficient and Robust Watermarking for 3D Gaussian SplattingZixuan Chen, Guangcong Wang, Jiahao Zhu, Jianhuang Lai 等CVPR 2025
- NGS-Marker: Robust Native Watermarking for 3D Gaussian SplattingHao Qin, Yukai Sun, Luyuan Chen, Mengxu Lu 等ICLR 2026
- CompMarkGS: Robust Watermarking for Compressed 3D Gaussian SplattingSumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang 等ICLR 2026 · 被引用 4 次
- Robust3DGSW: Toward Robust Watermarking for Quantization-Aware 3D Gaussian SplattingBoyu Wang, Jun Xia, Mingsong ChenCVPR 2026
