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20182026
most citedMarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure

3 citations · 4 across the 9 of their papers we have counts for

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cs.CV2026

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety

Shikai Qiu, Xiaowen Xu, Benlei Cui +55

General-purpose models often struggle to reliably identify and understand real-world multimodal risks, largely due to the inherent multimodal adversarial nature of content and AI s…

cs.CV20253 cited

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

Xiufeng Huang, Ziyuan Luo, Qi Song +2

The growing popularity of 3D Gaussian Splatting (3DGS) has intensified the need for effective copyright protection. Current 3DGS watermarking methods rely on computationally expens…

cs.CV2025

Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction

Xiufeng Huang, Ka Chun Cheung, Runmin Cong +2

Generalizable 3D Gaussian Splatting reconstruction showcases advanced Image-to-3D content creation but requires substantial computational resources and large datasets, posing chall…

cs.CV20241 cited

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting

Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung +3

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…

cs.CV2018

Video to Fully Automatic 3D Hair Model

Shu Liang, Xiufeng Huang, Xianyu Meng +3

Imagine taking a selfie video with your mobile phone and getting as output a 3D model of your head (face and 3D hair strands) that can be later used in VR, AR, and any other domain…