| --- |
| pretty_name: DirectLStudio Demo Scenes |
| license: other |
| license_name: mixed-cc-by-nc-4.0-and-cc-by-4.0 |
| license_link: https://huggingface.co/datasets/Royalvice/DirectLStudio-Demo-Scenes/blob/main/LICENSES.md |
| tags: |
| - 3d |
| - gaussian-splatting |
| - light-field-display |
| - directl |
| size_categories: |
| - n<1K |
| --- |
| |
| # DirectLStudio Demo Scenes |
|
|
| This public dataset contains three trained 3D Gaussian Splatting scenes in the |
| runtime-ready SOG format used by |
| [DirectLStudio](https://github.com/CoronaEngine/DirectLStudio). It contains |
| inference assets only: no source photographs, training images, camera training |
| sets, checkpoints, optimizer state, or training code are included. |
|
|
| ## Files |
|
|
| | Scene | Runtime file | Size | SHA-256 | Terms | |
| |---|---|---:|---|---| |
| | Lego | `scenes/lego/scene.sog` | 5,241,797 bytes | `1628DE34FA07E01960E4CD178BE7A67504C8B14A7FF46C0E396B01256EBB2756` | CC BY-NC 4.0 | |
| | Garden | `scenes/garden/scene.sog` | 82,435,453 bytes | `2F8DDF2D7AC131584D3AD9144C56AE6BB0D65C065D3E47EAA328636C61401910` | CC BY 4.0 | |
| | Bicycle | `scenes/bicycle/scene.sog` | 82,698,972 bytes | `94FEDED46A825E5DEA6C7B8D49A68DBFE9445E41947322A16E07F718F91C38AD` | CC BY 4.0 | |
|
|
| The machine-readable counterpart is [`manifest.json`](manifest.json). The |
| mixed per-file terms are authoritative in [`LICENSES.md`](LICENSES.md); the |
| repository-level `license: other` metadata intentionally does not flatten them |
| into a single license. |
|
|
| ## Download |
|
|
| Install the Hugging Face CLI, then download one scene: |
|
|
| ```powershell |
| hf download Royalvice/DirectLStudio-Demo-Scenes ` |
| --repo-type dataset ` |
| --include "scenes/lego/*" ` |
| --local-dir .\DirectLStudio-Demo-Scenes |
| ``` |
|
|
| DirectLStudio also provides a hash-pinned helper: |
|
|
| ```powershell |
| python .\tools\download_assets.py --scene lego --output .\assets\scenes |
| python .\tools\download_assets.py --scene garden --output .\assets\scenes |
| python .\tools\download_assets.py --scene bicycle --output .\assets\scenes |
| ``` |
|
|
| ## Provenance |
|
|
| - **Lego** derives from the NeRF Synthetic Lego scene published with |
| [NeRF](https://www.matthewtancik.com/nerf). A trained 3DGS representation was |
| converted to SOG for DirectLStudio inference. The source asset attribution |
| and non-commercial restriction remain in force after training and format |
| conversion. |
| - **Garden** and **Bicycle** derive from the |
| [Mip-NeRF 360](https://jonbarron.info/mipnerf360/) dataset. Their trained 3DGS |
| representations were converted to SOG for DirectLStudio inference. |
|
|
| These runtime files are provided for renderer evaluation and demonstration. |
| They do not transfer rights beyond the terms listed in `LICENSES.md`. |
|
|
| ## Citations |
|
|
| ```bibtex |
| @inproceedings{mildenhall2020nerf, |
| title={NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis}, |
| author={Mildenhall, Ben and Srinivasan, Pratul P. and Tancik, Matthew and Barron, Jonathan T. and Ramamoorthi, Ravi and Ng, Ren}, |
| booktitle={ECCV}, |
| year={2020} |
| } |
| |
| @article{barron2022mipnerf360, |
| title={Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields}, |
| author={Barron, Jonathan T. and Mildenhall, Ben and Verbin, Dor and Srinivasan, Pratul P. and Hedman, Peter}, |
| journal={CVPR}, |
| year={2022} |
| } |
| ``` |
|
|
