| --- |
| license: cc-by-4.0 |
| pretty_name: grow3d training data (CC-licensed Objaverse subset) |
| tags: |
| - 3d |
| - image-to-3d |
| - text-to-3d |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # grow3d data |
|
|
| Training data of [grow3d](https://huggingface.co/Asilarkness/grow3d-runs) (image/text-to-3D geometry): |
| objects from the ObjaverseXL-Sketchfab part of [TRELLIS-500K](https://huggingface.co/datasets/JeffreyXiang/TRELLIS-500K), |
| **restricted to assets whose Sketchfab license allows redistribution of derived data: CC0, CC-BY 4.0, CC-BY-SA 4.0.** |
| Non-commercial (CC-BY-NC*) and no-derivatives assets are excluded. |
| |
| ## Licensing and attribution |
| |
| Every file derived from an asset is distributed under that asset's license. `meta/attribution.csv` lists, |
| for every included object: `sha256` (the id used in all file names), Sketchfab `uid` and `url`, the model |
| `name`, the `author` and `author_url`, and the `license` (`cc0`, `by` = CC-BY 4.0, `by-sa` = CC-BY-SA 4.0). |
| Assets under CC-BY-SA keep that license (ShareAlike) for their derived files. Licenses come from the |
| Objaverse annotations (ODC-By). |
| |
| ## Contents |
| |
| `data/shard_*.tar` (+ `.json` with the object list). Per object `sha`: |
|
|
| | path | content | |
| |---|---| |
| | `lat512/<sha>.npz` | TRELLIS.2 SC-VAE shape latent (f16c32) at 512^3: sparse `coords` (N,3) on a 32^3 grid, `feats` (N,32) | |
| | `lat1024/<sha>.npz` | same at 1024^3 (64^3 grid) | |
| | `cond/<sha>/<i>.webp`, `views.json` | 12 RGBA conditioning renders (base colour, Lambert, nvdiffrast) and their cameras (TRELLIS.2 sampling) | |
| | `gt/<sha>.npz` | ground-truth mesh (validation objects only) | |
|
|
| Meshes are normalised to [-0.5, 0.5]^3 in Blender's Z-up frame, like TRELLIS.2. Captions are not |
| duplicated here: use the `captions` column of TRELLIS-500K. |
|
|
