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. In this paper, we propose \textbf{NeRFProtector}, which adopts a plug-and-play strategy to protect NeRF's copyright during its creation. NeRFProtector utilizes a pre-trained watermarking base model, enabling NeRF creators to embed binary messages directly while creating their NeRF. Our plug-and-play property ensures 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 neural rendering methods. Our project is available at: \url{https://qsong2001.github.io/NeRFProtector}.

翻译：神经辐射场（NeRFs）已成为三维场景表示的关键方法。随着NeRF的日益突出和影响力增强，保护其知识产权变得愈发重要。本文提出\textbf{NeRFProtector}，采用即插即用策略在NeRF创建过程中保护其版权。NeRFProtector利用预训练的水印基础模型，使NeRF创建者能够在生成NeRF时直接嵌入二进制信息。我们的即插即用特性确保了NeRF创建者可以灵活选择不同NeRF变体而无需进行大量修改。通过新设计的渐进式蒸馏方法，我们证明了本方法在性能上与多种前沿神经渲染方法相当。项目地址：\url{https://qsong2001.github.io/NeRFProtector}。