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Related papers: GS-Marker: Generalizable and Robust Watermarking f…

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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…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Xiufeng Huang , Ziyuan Luo , Qi Song , Ruofei Wang , Renjie Wan

3D Gaussian Splatting (3DGS) has emerged as a pivotal technique for 3D scene representation, providing rapid rendering speeds and high fidelity. As 3DGS gains prominence, safeguarding its intellectual property becomes increasingly crucial…

Cryptography and Security · Computer Science 2024-12-10 Yuqi Tan , Xiang Liu , Shuzhao Xie , Bin Chen , Shu-Tao Xia , Zhi Wang

As 3D Gaussian Splatting (3D-GS) gains significant attention and its commercial usage increases, the need for watermarking technologies to prevent unauthorized use of the 3D-GS models and rendered images has become increasingly important.…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Youngdong Jang , Hyunje Park , Feng Yang , Heeju Ko , Euijin Choo , Sangpil Kim

3D Gaussian Splatting (3DGS) has become a crucial method for acquiring 3D assets. To protect the copyright of these assets, digital watermarking techniques can be applied to embed ownership information discreetly within 3DGS models.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Xiufeng Huang , Ruiqi Li , Yiu-ming Cheung , Ka Chun Cheung , Simon See , Renjie Wan

3D Gaussian Splatting (3DGS) has been widely used in 3D reconstruction and 3D generation. Training to get a 3DGS scene often takes a lot of time and resources and even valuable inspiration. The increasing amount of 3DGS digital asset have…

Cryptography and Security · Computer Science 2025-04-24 Zihang Cheng , Huiping Zhuang , Chun Li , Xin Meng , Ming Li , Fei Richard Yu , Liqiang Nie

As 3D Gaussian Splatting (3DGS) is increasingly adopted in various academic and commercial applications due to its high-quality and real-time rendering capabilities, the need for copyright protection is growing. At the same time, its large…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Sumin In , Youngdong Jang , Utae Jeong , MinHyuk Jang , Hyeongcheol Park , Eunbyung Park , Sangpil Kim

As 3D Gaussian Splatting becomes the de facto representation for interactive 3D assets, robust yet imperceptible watermarking is critical. We present a representation-native framework that separates where to write from how to preserve…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Mingshu Cai , Jiajun Li , Osamu Yoshie , Yuya Ieiri , Yixuan Li

3D Gaussian Splatting (3DGS) has recently created impressive 3D assets for various applications. However, considering security, capacity, invisibility, and training efficiency, the copyright of 3DGS assets is not well protected as existing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Zixuan Chen , Guangcong Wang , Jiahao Zhu , Jianhuang Lai , Xiaohua Xie

3D Gaussian Splatting (3DGS) has emerged as a powerful representation for 3D scenes, widely adopted due to its exceptional efficiency and high-fidelity visual quality. Given the significant value of 3DGS assets, recent works have introduced…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Wenkai Huang , Yijia Guo , Gaolei Li , Lei Ma , Hang Zhang , Liwen Hu , Jiazheng Wang , Jianhua Li , Tiejun Huang

3D Gaussian Splatting (3DGS) is becoming a practical representation for novel view synthesis, but its growing adoption, together with rapid advances in instruction-driven 3DGS editing, also exposes a dual copyright risk: once a 3DGS-based…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Utae Jeong , Jaewan Choi , Junseok Lee , Jongheon Jeong , Sang Ho Yoon , ByoungSoo Koh , Sangpil Kim

3D Gaussian Splatting (3DGS) has become a leading representation for high-fidelity 3D assets, yet protecting these assets via digital watermarking remains an open challenge. Existing 3DGS watermarking methods are robust only to classical…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Longjie Zhao , Ziming Hong , Zhenyang Ren , Runnan Chen , Mingming Gong , Tongliang Liu

3D content acquisition and creation are expanding rapidly in the new era of machine learning and AI. 3D Gaussian Splatting (3DGS) has become a promising high-fidelity and real-time representation for 3D content. Similar to the initial wave…

Cryptography and Security · Computer Science 2026-02-04 Yangfan Deng , Anirudh Nakra , Min Wu

Underwater 3D reconstruction and appearance restoration are hindered by the complex optical properties of water, such as wavelength-dependent attenuation and scattering. Existing Neural Radiance Fields (NeRF)-based methods struggle with…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Xinrui Zhang , Yufeng Wang , Shuangkang Fang , Zesheng Wang , Dacheng Qi , Wenrui Ding

3D Gaussian splatting (GS) has emerged as a transformative technique in radiance fields. Unlike mainstream implicit neural models, 3D GS uses millions of learnable 3D Gaussians for an explicit scene representation. Paired with a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Guikun Chen , Wenguan Wang

The underwater 3D scene reconstruction is a challenging, yet interesting problem with applications ranging from naval robots to VR experiences. The problem was successfully tackled by fully volumetric NeRF-based methods which can model both…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Huapeng Li , Wenxuan Song , Tianao Xu , Alexandre Elsig , Jonas Kulhanek

Neural implicit representations, including Neural Distance Fields and Neural Radiance Fields, have demonstrated significant capabilities for reconstructing surfaces with complicated geometry and topology, and generating novel views of a…

Graphics · Computer Science 2024-02-08 Lin Gao , Jie Yang , Bo-Tao Zhang , Jia-Mu Sun , Yu-Jie Yuan , Hongbo Fu , Yu-Kun Lai

We present a novel framework for enhancing the visual fidelity and consistency of text-guided 3D Gaussian Splatting (3DGS) editing. Existing editing approaches face two critical challenges: inconsistent geometric reconstructions across…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Xuanqi Zhang , Jieun Lee , Chris Joslin , Wonsook Lee

Digital watermarking is widely used for copyright protection. Traditional 3D watermarking approaches or commercial software are typically designed to embed messages into 3D meshes, and later retrieve the messages directly from…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Innfarn Yoo , Huiwen Chang , Xiyang Luo , Ondrej Stava , Ce Liu , Peyman Milanfar , Feng Yang

3D Gaussian Splatting (3DGS) has emerged as a promising approach for 3D scene representation, offering a reduction in computational overhead compared to Neural Radiance Fields (NeRF). However, 3DGS is susceptible to high-frequency artifacts…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Shen Chen , Jiale Zhou , Lei Li

3D Gaussian splatting (3DGS) offers the capability to achieve real-time high quality 3D scene rendering. However, 3DGS assumes that the scene is in a clear medium environment and struggles to generate satisfactory representations in…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Haoran Wang , Nantheera Anantrasirichai , Fan Zhang , David Bull
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