Diffusion4D

홈페이지 · 논문 3편

Diffusion4D is a large-scale, high-quality dynamic 3D(4D) dataset sourced from the vast 3D data corpus of Objaverse-1.0 and Objaverse-XL. We apply a series of empirical rules to filter the dataset. You can find more details in our paper. In this part, we will release the selected 4D assets, including: 1. Selected high-quality 4D object ID. 2. A render script using Blender, providing optional settings to render your personalized data. 3. Rendered 4D images by our team to save your GPU time. With 8 GPUs and a total of 16 threads, it took 5.5 days to render the curated objaverse-1.0 dataset.