RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields

arXiv:2312.03357v2 Announce Type: replace
Abstract: Recent advances in Neural Fields mostly rely on developing task-specific supervision which often complicates the models. Rather than developing hard-to-combine and specific modules, another approach generally overlooked is to directly inject generic priors on the scene representation (also called inductive biases) into the NeRF architecture. Based on this idea, we propose the RING-NeRF architecture which includes two inductive biases : a continuous multi-scale representation of the scene and an invariance of the decoder's latent space …

abstract advances arxiv biases cs.cv fields inductive modules nerf representation ring supervision type