Tracing the Use of Open-Source Training Datasets for Neural Radiance Field Models

Summary

TraceNeRF is a method for tracing the training datasets of Neural Radiance Fields (NeRF) models, not the models themselves. It embeds owner-specific binary messages into the datasets through a hybrid frequency-spatial framework that combines a learnable spatially aware mask with discrete cosine transform, plus a density-aware module and a trainable band selector. The authors report that it outperforms baseline methods in availability, effectiveness, and robustness.