nf2vec: A framework for deep learning on Neural Fields

The dataset used in this paper is a collection of 3D shapes represented as Neural Fields (NFs). The NFs are learned from various 3D discrete representations of ShapeNet [42] surfaces.

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Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano (2024). Dataset: nf2vec: A framework for deep learning on Neural Fields. https://doi.org/10.57702/xr3t9wce

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2312.13277
Author Pierluigi Zama Ramirez
More Authors
Luca De Luigi
Daniele Sirocchi
Adriano Cardace
Riccardo Spezialetti
Francesco Ballerini
Samuele Salti
Luigi Di Stefano
Homepage https://cvlab-unibo.github.io/nf2vec