LH-NeF learns tokenized neural-field representations via a locality-preserving hierarchical encoder, achieving 42× lower memory and 133× larger batches than modality-agnostic meta-learning baselines while matching or exceeding performance on reconstruction and downstream tasks.
arXiv preprint arXiv:2202.10890 , year=
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Neural Field Tokenizations with Hierarchy and Spatial Locality Priors
LH-NeF learns tokenized neural-field representations via a locality-preserving hierarchical encoder, achieving 42× lower memory and 133× larger batches than modality-agnostic meta-learning baselines while matching or exceeding performance on reconstruction and downstream tasks.