Objaverse
800K+ annotated 3D models for training 3D and multimodal models.
NeurCross Per-Mesh Generated Labels This dataset contains per-mesh geometry labels generated with NeurCross for research and development of AI-assisted auto-retopology, quad meshing, remeshing, and geometry-processing workflows. Each sample represents one source mesh processed independently through a NeurCross label-generation pipeline. The generated artifact package may include normalized mesh geometry, optimized cross-field labels, quality metrics, feature-line artifacts, SDF… See the full description on the dataset page:
Source: Hugging Face Hub (akashskypatel/NeurCross-Labels). Metadata imported from the dataset’s Hub tags.