VALSE 论文速览 第176期：CopyRNeRF

论文题目：

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

作者列表：

罗梓源 (香港浸会大学)、郭青 (新加坡科技研究局)、Ka Chun Cheung (英伟达)、Simon See (英伟达)、万人杰 (香港浸会大学)

B站观看网址：

https://www.bilibili.com/video/BV1Qm421n7KW/

论文摘要：

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 should be a priority. In this paper, by analyzing the pros and cons of possible copyright protection solutions, we propose to protect the copyright of NeRF models by replacing the original color representation in NeRF with a watermarked color representation. Then, a distortion-resistant rendering scheme is designed to guarantee robust message extraction in 2D renderings of NeRF. Our proposed method can directly protect the copyright of NeRF models while maintaining high rendering quality and bit accuracy when compared among optional solutions.

参考文献：

[1] Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan, "CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields." Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.

论文链接：

[https://arxiv.org/abs/2307.11526]

代码链接：

[https://github.com/luo-ziyuan/CopyRNeRF-code]

视频讲者简介：

罗梓源，香港浸会大学在读博士，研究方向为神经辐射场，导师是万人杰教授。

特别鸣谢本次论文速览主要组织者：

月度轮值AC：张力 (复旦大学)