  Remarkable advancements in the recolorization of Neural Radiance Fields
(NeRF) have simplified the process of modifying NeRF's color attributes. Yet,
with the potential of NeRF to serve as shareable digital assets, there's a
concern that malicious users might alter the color of NeRF models and falsely
claim the recolorized version as their own. To safeguard against such breaches
of ownership, enabling original NeRF creators to establish rights over
recolorized NeRF is crucial. While approaches like CopyRNeRF have been
introduced to embed binary messages into NeRF models as digital signatures for
copyright protection, the process of recolorization can remove these binary
messages. In our paper, we present GeometrySticker, a method for seamlessly
integrating binary messages into the geometry components of radiance fields,
akin to applying a sticker. GeometrySticker can embed binary messages into NeRF
models while preserving the effectiveness of these messages against
recolorization. Our comprehensive studies demonstrate that GeometrySticker is
adaptable to prevalent NeRF architectures and maintains a commendable level of
robustness against various distortions. Project page:
https://kevinhuangxf.github.io/GeometrySticker/.
