Neural Processing of Tri-Plane Hybrid Neural Fields. (arXiv:2310.01140v3 [cs.CV] UPDATED)

Driven by the appealing properties of neural fields for storing and
communicating 3D data, the problem of directly processing them to address tasks
such as classification and part segmentation has emerged and has been
investigated in recent works. Early approaches employ neural fields
parameterized by shared networks trained on the whole dataset, achieving good
task performance but sacrificing reconstruction quality. To improve the latter,
later methods focus on individual neural fields parameterized as large
Multi-Layer Perceptrons (MLPs), which are, however, …

arxiv classification cs.cv data fields hybrid networks part plane processing segmentation tasks them