---
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.