You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

This dataset has no data

Cite this as

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
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