PeterAM4/blockgen-3d
BlockGen-3D Dataset Overview BlockGen-3D is a large-scale dataset of voxelized 3D models with accompanying text descriptions, specifically designed for text-to-3D generation tasks. By processing and voxelizing models from the Objaverse dataset, we have created a standardized representation that is particularly suitable for training 3D diffusion models. Our dataset provides two types of representations: shape-only models represented as binary occupancy grids, and… See the full description on the dataset page: https://huggingface.co/datasets/PeterAM4/blockgen-3d.
| Author / organization | PeterAM4 |
|---|---|
| Downloads | 494 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 3 January 2025 |
| Last updated at source | 9 January 2025 |
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- 16 Oct 2026 Description: BlockGen-3D Dataset Overview BlockGen-3D is a large-scale dataset of voxelized 3D models with accompanying text descriptions, specifically designed for text-to-3D generation tasks. By processing and voxelizing models from the Objaverse data → BlockGen-3D Dataset Overview BlockGen-3D is a large-scale dataset of voxelized 3D models with accompanying text descriptions, specifically designed for text-to-3D generation tasks. By processing and voxelizing models from the Objaverse data
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