NeuRBF
NeuRBF represents an innovative approach to neural fields using Adaptive Radial Basis Functions for high precision and compactness. Unveiled at ICCV 2023, it offers PyTorch implementation for image and SDF fitting, alongside neural radiance field tasks. Key features include adjustable model sizing, cross-environment compatibility, and utilization of datasets such as Synthetic NeRF and LLFF. Discover our setup guide for insights into this pioneering computational methodology.
