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 colored… See the full description on the dataset page: https://huggingface.co/datasets/PeterAM4/blockgen-3d.
