面向神经辐射场的水印算法OA北大核心CSTPCD

This paper proposed a watermarking algorithm for neural radiance fields(NeRF)to address the copyright protection issue of implicit 3D models.The algorithm embedded watermarks into the images in the training set through an embedding net-work,and then utilized the NeRF model for 3D model modeling.It generated a backdoor image by the copyright verifier from a new perspective by providing a secret perspective as input to the neural radiation field.Subsequently,it designed a watermark extractor using the hyperparameterization method of the neural network to obtain the embedded watermark image from that per-spective.In a black box scenario,once there was suspicion of unauthorized use of the 3D model,the verifier could extract water-marks from a secret perspective to verify network copyright.The experimental results demonstrate that the proposed algorithm not only yields good visual effects when extracting watermarks,but also exhibits robust resistance to different types of noise attacks.