--- pretty_name: LightGenBench license: other license_name: mixed-cc viewer: false tags: - 3d - pbr - emission - texture - uv-atlas - voxels - multiview size_categories: - 10K//-.tar, shard in 5 digits (data/train/voxels/voxels-00000.tar) ``` Each split's uuids are sorted and cut into shards of 1,000 shapes. A tar holds one representation's files for one shard (atlas: `atlas.npz`; voxels: the two `.vxz` files; multiview: `multiview/`; thumbnail: `thumbnail.png`) at paths `/`, as in the tree under "The data". Shard k holds the same shapes in every representation. The `atlas.npz` files here are stored compressed; the arrays are the same and `np.load` reads them the same way. ## Download and unpack ```bash # the root files, then one representation for every split hf download 3dlg-hcvc/LightgenBench README.md splits.json metadata.parquet checksums.sha256 --repo-type dataset --local-dir lightgenbench hf download 3dlg-hcvc/LightgenBench --repo-type dataset --include "data/*/voxels/*" --local-dir lightgenbench # or everything hf download 3dlg-hcvc/LightgenBench --repo-type dataset --local-dir lightgenbench # check, then unpack every tar and splits.json into ../root cd lightgenbench && sha256sum -c --ignore-missing checksums.sha256 mkdir -p ../root && for t in data/*/*/*.tar; do tar -xf "$t" -C ../root; done && cp splits.json ../root/ ``` ## The data Emissive 3D shapes from TexVerse with their material and emission maps in three representations: a UV atlas, sparse voxels, and six rendered views. One directory per shape, named by its TexVerse uuid. ``` README.md splits.json {"train": [uuid, ...], "val": [...], "test": [...]} / atlas.npz emission_voxels.vxz pbr_voxels.vxz multiview/ 00N_{albedo,mr,normal,pos,emission,alpha}.png (N = 0..5), transforms.json thumbnail.png ``` ### Splits | split | shapes | |---|---| | train | 36,426 | | val | 200 | | test | 200 | Val and test are 200 shapes each. Every shape of the earlier paper's validation split and test set that passed stays in val and test respectively (170 and 178); the rest were drawn category-stratified at random with seed 42. Train is every other released shape. 232 pass shapes were left out of train: 91 outside the bake pass (they failed the bake's alignment gate, so they have no views) and 141 without a thumbnail. None were in val or test. The validation split picks checkpoints; the test set produces published numbers. Read a split as `json.load(open("splits.json"))["train"]` and a shape's files as `//`. ### `atlas.npz` 512×512 maps. Material values are linear, stored as `clip(v, 0, 1) · 255`. | key | dtype | shape | content | |---|---|---|---| | `occupancy` | bool | 512×512×1 | texel covered by the UV layout | | `position` | uint16 | 512×512×3 | position in the canonical [−1, 1] frame, stored as `(v · 0.5 + 0.5) · 65535` | | `objnormal` | uint16 | 512×512×3 | object-space normal, same encoding | | `color` | uint8 | 512×512×3 | base color | | `metal` | uint8 | 512×512×1 | metallic | | `rough` | uint8 | 512×512×1 | roughness | | `emission_color` | uint8 | 512×512×3 | emission | | `alpha` | uint8 | 512×512×1 | opacity | ### `emission_voxels.vxz`, `pbr_voxels.vxz` Sparse voxels on a 256³ grid over [−0.5, 0.5]³, both files on the same voxels. Read with `o_voxel.io.read_vxz(path)`, which returns the coordinates (int32, N×3) and a dict of attributes. The voxel frame and the atlas frame hold the same normalized object, centered the same way; the voxel frame is half the scale (a point p in the atlas frame is at p / 2 in the voxel frame). Attributes: | file | attribute | dtype | shape | |---|---|---|---| | `emission_voxels.vxz` | `emissive` | uint8 | N×3 | | `pbr_voxels.vxz` | `base_color` | uint8 | N×3 | | | `metallic`, `roughness`, `alpha` | uint8 | N×1 | ### `multiview/` Six orthographic 512×512 views (front, right, back, left, top, bottom; the Hunyuan3D-Paint training cameras), each with six maps: `albedo`, `mr` (metallic-roughness), `normal`, `pos`, `emission`, `alpha`. The material maps (`albedo`, `mr`, `emission`, `alpha`) hold linear bytes; `normal` and `pos` are geometry maps in Hunyuan3D-Paint's encoding. Outside the silhouette every map is gray 127. The object mask is `mr` red channel == 255 (`alpha` is material opacity, not the mask). `transforms.json` holds the six camera frames. ### `thumbnail.png` The TexVerse preview image as shipped, under a `.png` name: 36,824 hold JPEG data and 2 hold PNG data. 35,304 (both PNG among them) are 1920×1080 RGB; the other 1,522 are smaller, down to 256×144, and 277 of those are grayscale. Decode by content (PIL does) and convert to RGB: `Image.open(path).convert("RGB")`. ### Emission rule A material's emission is its emissive texture alone (sRGB-decoded to linear) when it has one, else its emissive factor color, else black. `emissiveFactor` does not scale a texture, and `KHR_materials_emissive_strength` is not applied. ### How the shapes were selected 1. **Metadata filtering** of the TexVerse GLBs: 83,124 pass (declared emission and a full PBR material; 103,762 declare emission). 2. **Heuristic filtering**: the zero-emission check passes 77,569; the copy check (emission is not a copy of the base color) passes 73,432. 3. **Duplicate check**: 69,942 (copies with the same geometry, albedo and emission removed). 4. **Data preparation**: atlas and voxels for 70,996 of the 73,432, views for 70,988. 5. **VLM filtering**: 37,058 pass of the 69,942 (a vision-language model judges eight review images per shape; shapes whose baked emission map is all zero are rejected). 6. **Released**: 36,826, the pass shapes with every file above. ## Licenses Every shape keeps the license of its source model on Sketchfab (via TexVerse). Credit the authors. NoDerivs licenses do not allow sharing adapted material, and NonCommercial licenses allow non-commercial use only; a public release must filter on the `license` column. | license | shapes | |---|---| | CC Attribution | 34,319 | | CC Attribution-NonCommercial | 1,341 | | CC Attribution-NonCommercial-ShareAlike | 459 | | CC Attribution-NonCommercial-NoDerivs | 381 | | CC Attribution-ShareAlike | 264 | | CC Attribution-NoDerivs | 49 | | CC0 Public Domain | 13 |