What is neural field compositionality in 3D vision systems?

Neural field compositionality allows multiple implicit neural representations to be combined into complex scenes.

Neural fields like NeRF represent scenes as continuous functions. Compositionality extends this idea by combining multiple neural fields representing objects, lighting, or materials. Instead of learning a single monolithic scene representation, models learn structured components that can be independently manipulated and recombined, improving interpretability and editing capabilities in 3D vision.