| --- |
| pretty_name: 3DModelSearch Renders & Embeddings |
| task_categories: |
| - feature-extraction |
| tags: |
| - 3d |
| - retrieval |
| - multimodal |
| - objaverse |
| - languagebind |
| size_categories: |
| - 100B<n<1T |
| license: other |
| license_name: mixed-see-provenance |
| --- |
| |
| # 3DModelSearch — Renders & Embeddings |
|
|
| Precomputed data for [3DModelSearch](<https://github.com/srutisrinidhi/3DModelSearch>): multi-view image renders, |
| turntable videos, and LanguageBind embeddings for 3D models, used in Learning Visual and Motion Aware 3D Model Representations |
| for Semantic Retriev. |
| These let you reproduce retrieval results without re-rendering or re-embedding. |
|
|
| ## Contents |
|
|
| | File | Size | Contents | |
| | --- | --- | --- | |
| | `embeddings.tar.gz` | ~<X> GB | `out/Embeddings/<uid>_image.pt`, `<uid>_video.pt`, and `out/models_data.csv` | |
| | `videos.tar.gz` | ~17 GB | `data/Videos/<shard>/<uid>.mp4` | |
| | `images.tar.gz` | ~197 GB | `data/Images/<shard>/<uid>/view0..5.jpg` | |
|
|
| - **Image embeddings**: `[6, 768]` tensors (6 views, LanguageBind image encoder). |
| - **Video embeddings**: `[768]` tensors (LanguageBind video encoder). |
| - `models_data.csv` maps each `uid` to its render + embedding paths (**paths are relative to |
| the code repo root**). |
|
|
| Source `.glb` models are **not** included — fetch them from |
| [Objaverse](https://objaverse.allenai.org/) as described in the code repo. |
|
|
| ## Usage |
|
|
| ```bash |
| pip install huggingface_hub |
| huggingface-cli download <HF_USER>/<REPO> embeddings.tar.gz --repo-type dataset --local-dir . |
| tar -xzf embeddings.tar.gz # -> out/ |
| tar -xzf videos.tar.gz # -> data/Videos/ |
| tar -xzf images.tar.gz # -> data/Images/ |
| |
