most citedCopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers

Ruofei Wang, Hongzhan Lin, Ziyuan Luo +4

Hateful meme detection aims to prevent the proliferation of hateful memes on various social media platforms. Considering its impact on social environments, this paper introduces a…

cs.CV2024

Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images

Qi Song, Ziyuan Luo, Ka Chun Cheung +2

Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have enabled high-quality 3D model generation from just a single image input within seconds. However, t…

cs.CV2024

Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems

Ziyuan Luo, Boxin Shi, Haoliang Li +1

Electromagnetic Inverse Scattering Problems (EISP) have gained wide applications in computational imaging. By solving EISP, the internal relative permittivity of the scatterer can…

cs.CV2024

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model

Qi Song, Ziyuan Luo, Ka Chun Cheung +2

Neural Radiance Fields (NeRFs) have become a key method for 3D scene representation. With the rising prominence and influence of NeRF, safeguarding its intellectual property has be…

cs.CV20233 cited

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

Ziyuan Luo, Qing Guo, Ka Chun Cheung +2

Neural Radiance Fields (NeRF) have the potential to be a major representation of media. Since training a NeRF has never been an easy task, the protection of its model copyright sho…