| --- |
| license: apache-2.0 |
| task_categories: |
| - text-to-3d |
| - image-to-3d |
| language: |
| - en |
| tags: |
| - 4d |
| - 3d |
| - text-to-4d |
| - image-to-4d |
| - 3d-to-4d |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models |
|
|
| [[Project Page]](https://vita-group.github.io/Diffusion4D/) | [[Code]](https://github.com/VITA-Group/Diffusion4D) | |
|
|
| ## News |
|
|
| - 2024.5.27: Released metadata for objects! |
|
|
| ## Overview |
|
|
| We collect a large-scale, high-quality dynamic 3D(4D) dataset sourced from the |
| vast 3D data corpus of [Objaverse-1.0](https://objaverse.allenai.org/objaverse-1.0/) and [Objaverse-XL](https://github.com/allenai/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. (To be uploaded) Rendered 4D images by our team to save your GPU time. |
|
|
| ## 4D Dataset ID/Metadata |
| We collect 365k dynamic 3D assets from Objaverse-1.0 (42k) and Objaverse-xl (323k). |
|
|
| Metadata of animated objects (323k) from objaverse-xl can be found in [meta_xl_animation_tot.csv](https://huggingface.co/datasets/hw-liang/Diffusion4D/blob/main/meta_xl_animation_tot.csv). |
| We also release the metadata of all successfully rendered objects from objaverse-xl's Github subset in [meta_xl_tot.csv](https://huggingface.co/datasets/hw-liang/Diffusion4D/blob/main/meta_xl_tot.csv). |
|
|
| For text-to-4D generation, the captions are obtained from the work [Cap3D](https://huggingface.co/datasets/tiange/Cap3D). |
| More about the dataset and curation scripts are coming soon! |
|
|
|
|
| ## Citation |
|
|
| If you find this repository/work/dataset helpful in your research, please consider citing the paper and starring the [repo](https://github.com/VITA-Group/Diffusion4D) ⭐. |
|
|
| ``` |
| @article{liang2024diffusion4d, |
| title={Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models}, |
| author={Liang, Hanwen and Yin, Yuyang and Xu, Dejia and Liang, Hanxue and Wang, Zhangyang and Plataniotis, Konstantinos N and Zhao, Yao and Wei, Yunchao}, |
| journal={arXiv preprint arXiv:2405.16645}, |
| year={2024} |
| } |
| ``` |
