| --- |
| license: mit |
| task_categories: |
| - other |
| tags: |
| - 3d |
| - animation |
| - mesh |
| - objaverse |
| - 4d |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # DynamicObjaverseProcessed |
|
|
| 67,084 animated (4D) 3D meshes curated from [Objaverse-XL](https://objaverse.allenai.org/), quality-ranked by ICP-based non-rigid deformation intensity. |
|
|
| ## Overview |
|
|
| Starting from 71,104 curated UIDs, the [processing pipeline](https://github.com/ou524u/DynamicObjaverseProcessing) downloads, unifies formats to `.glb`, and classifies meshes by animation quality: |
|
|
| ``` |
| 71,104 curated UIDs → 67,746 downloads → 67,639 unified .glb → 67,084 true 4D meshes |
| ``` |
|
|
| All meshes are in binary glTF (`.glb`) format with embedded animations. |
|
|
| ## Quintile Ranking |
|
|
| Meshes are ranked by **ICP residual** — a measure of non-rigid deformation after factoring out rigid-body motion (translation/rotation). Higher ICP = more interesting mesh deformation (e.g., character animation, cloth simulation). |
|
|
| | Quintile | Files | ICP Range | Size | Description | |
| |----------|-------|-----------|------|-------------| |
| | Q1 (top) | 13,417 | 0.039 – 0.996 | 32 GB | Strongest deformation | |
| | Q2 (high) | 13,417 | 0.027 – 0.039 | 44 GB | | |
| | Q3 (mid) | 13,417 | 0.017 – 0.027 | 51 GB | | |
| | Q4 (low) | 13,417 | 0.003 – 0.017 | 38 GB | | |
| | Q5 (bottom) | 13,416 | 0.000 – 0.003 | 25 GB | Subtle / rigid-body motion | |
|
|
| ## Files |
|
|
| - `classification.jsonl` — Full manifest with per-mesh metrics (ICP residual, amplitude, quintile, rank) |
| - `quintile_1_top.tar` — Top 20% by deformation intensity (13,417 `.glb` files) |
| - `quintile_2_high.tar` — High 20% |
| - `quintile_3_mid.tar` — Mid 20% |
| - `quintile_4_low.tar` — Low 20% |
| - `quintile_5_bottom.tar` — Bottom 20% |
|
|
| ## Usage |
|
|
| ```python |
| # Download and extract a specific quintile |
| from huggingface_hub import hf_hub_download |
| import tarfile |
| |
| path = hf_hub_download("littlekoyo/DynamicObjaverseProcessed", "quintile_1_top.tar", repo_type="dataset") |
| with tarfile.open(path) as tar: |
| tar.extractall("./meshes") |
| |
| # Load the classification manifest |
| import json |
| path = hf_hub_download("littlekoyo/DynamicObjaverseProcessed", "classification.jsonl", repo_type="dataset") |
| records = [json.loads(line) for line in open(path)] |
| ``` |
|
|
| ### classification.jsonl fields |
|
|
| | Field | Description | |
| |-------|-------------| |
| | `uid` | UUID identifier (also the filename without `.glb`) | |
| | `classification` | `true_4d` / `static` / `error` | |
| | `icp_residual_normalized` | Non-rigid deformation intensity (normalized by bbox diagonal) | |
| | `max_displacement_normalized` | Raw vertex displacement (including rigid motion) | |
| | `overall_amplitude` | Keyframe amplitude metric (supplementary) | |
| | `quintile` | 1–5 (1 = most deformation, 5 = least; 0 for non-4D) | |
| | `icp_rank` | Rank within true_4d (1 = highest ICP) | |
| | `source_path` | Original file path in the processing pipeline | |
|
|
| ## Processing Pipeline |
|
|
| See [DynamicObjaverseProcessing](https://github.com/ou524u/DynamicObjaverseProcessing) for the full pipeline code. |
|
|
| ## License |
|
|
| The pipeline code is MIT licensed. Mesh data is sourced from Objaverse-XL and subject to its original licenses. |
|
|
