3D / Point Cloud
Objaverse
800K+ annotated 3D models for training 3D and multimodal models.
100K–1M·CC-BY·Point Cloud (LAS/PLY)
ShapeNetSDF Signed Distance Field (SDF) point samples derived from ShapeNet Core, for training and evaluating implicit neural representations / neural fields on 3D shapes. This dataset is shared as part of the CVPR 2026 paper Weight Space Representation Learning via Neural Field Adaptaion. Code for producing this dataset is shared in the wsr.pytorch neural-field codebase. Each shape is converted into a watertight manifold, normalized into the unit cube -1, 1 ³, and sampled… See the full description on the dataset page:
Source: Hugging Face Hub (EPFL-IVRL/ShapeNetSDF). Metadata imported from the dataset’s Hub tags.