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

Neural Radiance Fields (NeRF, a technique for representing 3D objects and scenes) need better ways to track which datasets were used to train them, especially since existing watermarking methods require changes during training that don't work well for this purpose. Researchers introduced TraceNeRF, a new method that embeds owner-specific identifying marks directly into training datasets using a hybrid approach combining spatial masking and discrete cosine transform (a mathematical technique for breaking images into frequency components), along with special modules to make these marks harder to remove or alter.