1691@2024@ECCV

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#1 Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model [PDF] [Copy] [Kimi1] [REL]

Authors: Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan

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 become increasingly important. This paper introduces a plug-and-play method to protect NeRF's copyright during its creation. We propose utilizing a pre-trained watermarking base model, enabling NeRF creators to embed binary messages directly while creating their NeRF. Our plug-and-play property ensures that NeRF creators can flexibly choose NeRF variants without excessive modifications. Leveraging our newly designed progressive distillation, we demonstrate performance on par with several leading-edge methods. Our code will be released upon the acceptance of this paper.

Subject: ECCV.2024 - Poster