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| 1 |
+
---
|
| 2 |
+
pretty_name: UniPhys-Bench
|
| 3 |
+
license: other
|
| 4 |
+
license_name: uniphys-bench-dataset-terms
|
| 5 |
+
license_link: LICENSE
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
tags:
|
| 9 |
+
- 3d
|
| 10 |
+
- physical-grounding
|
| 11 |
+
- articulation
|
| 12 |
+
- robotics
|
| 13 |
+
- simulation
|
| 14 |
+
- benchmark
|
| 15 |
+
size_categories:
|
| 16 |
+
- 1K<n<10K
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# UniPhys-Bench
|
| 20 |
+
|
| 21 |
+
UniPhys-Bench is a human-verified benchmark for evaluating unified physical
|
| 22 |
+
grounding on heterogeneous articulated 3D assets. It jointly evaluates
|
| 23 |
+
articulation semantics, articulation structure, part-level intrinsic physical
|
| 24 |
+
properties, and object-level scale and mass.
|
| 25 |
+
|
| 26 |
+
This repository is the **primary UniPhys-Bench release**. It contains 1,473
|
| 27 |
+
articulated assets provided by [Manycore Tech](https://www.manycoretech.com/)
|
| 28 |
+
(群核科技), with part decompositions created by professional designers.
|
| 29 |
+
|
| 30 |
+
- **Dataset:** [spatialverse/UniPhys-Bench](https://huggingface.co/datasets/spatialverse/UniPhys-Bench)
|
| 31 |
+
- **Code:** [breezexian/UniPhysGen](https://github.com/breezexian/UniPhysGen)
|
| 32 |
+
- **Paper:** [UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets](https://arxiv.org/abs/2607.13586)
|
| 33 |
+
- **Training dataset:** [breezexian/UniPhys-40K](https://huggingface.co/datasets/breezexian/UniPhys-40K)
|
| 34 |
+
|
| 35 |
+
## Release scope
|
| 36 |
+
|
| 37 |
+
| Statistic | Value |
|
| 38 |
+
| --- | ---: |
|
| 39 |
+
| Articulated objects in this repository | 1,473 |
|
| 40 |
+
| Entity ID range | `UPB_00000454`–`UPB_00001926` |
|
| 41 |
+
| Role | Primary release |
|
| 42 |
+
|
| 43 |
+
The complete benchmark used in the paper contains 1,927 objects and is hosted
|
| 44 |
+
as two independent releases:
|
| 45 |
+
|
| 46 |
+
| Release | Contents | Objects | Entity IDs |
|
| 47 |
+
| --- | --- | ---: | --- |
|
| 48 |
+
| [UniPhys-Bench](https://huggingface.co/datasets/spatialverse/UniPhys-Bench) | Manycore-provided assets | 1,473 | `UPB_00000454`–`UPB_00001926` |
|
| 49 |
+
| [UniPhys-Bench Part 2](https://huggingface.co/datasets/breezexian/UniPhys-Bench-Part2) | Evaluation-only assets held out from the UniPhys-40K source distribution | 454 | `UPB_00000000`–`UPB_00000453` |
|
| 50 |
+
|
| 51 |
+
The two releases use the same annotation schema and evaluation protocol. They
|
| 52 |
+
are hosted separately so that each repository can state the provenance and
|
| 53 |
+
terms applicable to the assets it contains. Entity IDs are globally unique
|
| 54 |
+
across the two releases and should not be renumbered.
|
| 55 |
+
|
| 56 |
+
Across both releases, UniPhys-Bench contains approximately 16K parts and 5.5K
|
| 57 |
+
motion-relevant components. It covers diverse object categories, structural
|
| 58 |
+
complexities, part granularities, modeling styles, scales, masses, materials,
|
| 59 |
+
and articulation patterns.
|
| 60 |
+
|
| 61 |
+
## Benchmark construction
|
| 62 |
+
|
| 63 |
+
The assets in this repository were provided by Manycore Tech, and their part
|
| 64 |
+
decompositions were created by professional designers. The UniPhys pipeline
|
| 65 |
+
first produces articulation and physical-property annotations. Human annotators
|
| 66 |
+
then inspect and correct joint type, axis, pivot, motion range,
|
| 67 |
+
motion-dependent part groupings, and intrinsic physical-property plausibility
|
| 68 |
+
for motion-relevant components.
|
| 69 |
+
|
| 70 |
+
UniPhys-Bench Part 2 provides the complementary source-distribution split used
|
| 71 |
+
by the complete benchmark. It is distributed separately and is not contained
|
| 72 |
+
in this repository.
|
| 73 |
+
|
| 74 |
+
## Annotation scope
|
| 75 |
+
|
| 76 |
+
| Task | Inputs | Ground truth |
|
| 77 |
+
| --- | --- | --- |
|
| 78 |
+
| Part-level intrinsic physical grounding | object and target-part geometry | part identity, semantic descriptions, material, density, Young's modulus, hardness, Poisson's ratio, friction, graspability, and affordance |
|
| 79 |
+
| Kinematic parameter grounding | object and target-part geometry | prismatic/revolute joint type, axis, pivot, and motion range |
|
| 80 |
+
| Articulation structure grounding | object and target-part geometry plus candidate-part metadata | IDs of parts that move together with the target part |
|
| 81 |
+
| Object-level physical grounding | complete-object geometry | object identity, category, dimensions, and mass |
|
| 82 |
+
|
| 83 |
+
Part-property units follow the paper: density is in `g/cm^3`, Young's modulus
|
| 84 |
+
in `GPa`, hardness in `HV`, and Poisson's ratio and friction are unitless.
|
| 85 |
+
Object dimensions are `[L, W, H]` in centimeters and mass is in kilograms.
|
| 86 |
+
Affordance is scored from 1 to 10, with smaller values indicating higher
|
| 87 |
+
affordance.
|
| 88 |
+
|
| 89 |
+
Motion labels use `B` for prismatic translation and `C` for revolute rotation.
|
| 90 |
+
The broader part-level annotations additionally use `A` for contact-only and
|
| 91 |
+
`D` for rigid or fixed parts.
|
| 92 |
+
|
| 93 |
+
## Dataset structure
|
| 94 |
+
|
| 95 |
+
Each benchmark object is stored in one `UPB_<id>` directory. For example:
|
| 96 |
+
|
| 97 |
+
```text
|
| 98 |
+
UPB_00000454/
|
| 99 |
+
├── annotations/
|
| 100 |
+
│ ├── object.json
|
| 101 |
+
│ ├── part_1.json
|
| 102 |
+
│ ├── part_2.json
|
| 103 |
+
│ └── ...
|
| 104 |
+
├── full_model/
|
| 105 |
+
│ ├── model.obj
|
| 106 |
+
│ ├── material.mtl
|
| 107 |
+
│ └── texture files
|
| 108 |
+
├── meta_data.json
|
| 109 |
+
├── model.urdf
|
| 110 |
+
├── parts/
|
| 111 |
+
│ ├── part_1.obj
|
| 112 |
+
│ ├── part_2.obj
|
| 113 |
+
│ ├── material and texture files
|
| 114 |
+
│ └── ...
|
| 115 |
+
└── plys/
|
| 116 |
+
├── model.ply
|
| 117 |
+
├── 1.ply
|
| 118 |
+
├── 2.ply
|
| 119 |
+
└── ...
|
| 120 |
+
```
|
| 121 |
+
|
| 122 |
+
| Path | Description |
|
| 123 |
+
| --- | --- |
|
| 124 |
+
| `parts/part_<id>.obj` | Decomposed part mesh, with its available MTL and texture assets. |
|
| 125 |
+
| `full_model/model.obj` | Complete object OBJ produced by concatenating all released part meshes. |
|
| 126 |
+
| `plys/model.ply` | Point cloud for the complete object. |
|
| 127 |
+
| `plys/<id>.ply` | Part point cloud aligned with `parts/part_<id>.obj`. |
|
| 128 |
+
| `annotations/object.json` | Object identity, category, real-world dimensions, and mass. |
|
| 129 |
+
| `annotations/part_<id>.json` | Part semantics, intrinsic physical properties, articulation parameters, and dependency group. |
|
| 130 |
+
| `meta_data.json` | Entity provenance, object summary, geometry metadata, and annotation version. |
|
| 131 |
+
| `model.urdf` | Articulated assembly of all released parts using the annotated joints and motion parameters. |
|
| 132 |
+
|
| 133 |
+
The same numeric part ID is used by `part_<id>.obj`, `<id>.ply`, and
|
| 134 |
+
`part_<id>.json`, so geometry and annotations can be joined without an
|
| 135 |
+
additional mapping file.
|
| 136 |
+
|
| 137 |
+
### Simulation-ready URDF
|
| 138 |
+
|
| 139 |
+
`model.urdf` assembles all parts and encodes the annotated joint types and
|
| 140 |
+
motion parameters. During export, the mesh is rescaled using the annotated
|
| 141 |
+
object dimensions so that the assembled asset has a real physical size. URDF
|
| 142 |
+
geometry uses **meters**, while `annotations/object.json` stores dimensions in
|
| 143 |
+
centimeters.
|
| 144 |
+
|
| 145 |
+
> [!IMPORTANT]
|
| 146 |
+
> The released URDF provides the articulated geometry and kinematic assembly,
|
| 147 |
+
> but intrinsic physical properties are not written into the URDF. Density,
|
| 148 |
+
> friction, mass, and other physical values should be read from the JSON
|
| 149 |
+
> annotations and assigned as needed for the target simulator and experiment.
|
| 150 |
+
|
| 151 |
+
### Metadata
|
| 152 |
+
|
| 153 |
+
`meta_data.json` stores the dataset origin and released entity summary. A
|
| 154 |
+
Manycore entity uses metadata of the following form:
|
| 155 |
+
|
| 156 |
+
```json
|
| 157 |
+
{
|
| 158 |
+
"id": "UPB_00000454",
|
| 159 |
+
"source": [
|
| 160 |
+
{
|
| 161 |
+
"dataset": "UniPhys-Bench",
|
| 162 |
+
"organization": "Manycore Tech Inc.",
|
| 163 |
+
"license_ref": "UniPhys-Bench"
|
| 164 |
+
}
|
| 165 |
+
],
|
| 166 |
+
"object": {
|
| 167 |
+
"category": "Furniture/StorageFurniture",
|
| 168 |
+
"object_name": "Corner Display Cabinet with Drawer"
|
| 169 |
+
},
|
| 170 |
+
"geometry": {
|
| 171 |
+
"asset_type": "decomposed_parts",
|
| 172 |
+
"num_parts": 6,
|
| 173 |
+
"format": "obj"
|
| 174 |
+
},
|
| 175 |
+
"annotation": {
|
| 176 |
+
"version": "v1.0"
|
| 177 |
+
}
|
| 178 |
+
}
|
| 179 |
+
```
|
| 180 |
+
|
| 181 |
+
### Part-level annotations
|
| 182 |
+
|
| 183 |
+
Each `annotations/part_<id>.json` contains:
|
| 184 |
+
|
| 185 |
+
- `index`: entity and part identifiers;
|
| 186 |
+
- `part_level`: part name, descriptions, affordance, and graspability;
|
| 187 |
+
- `basic_info`: material and intrinsic physical properties;
|
| 188 |
+
- `kinematic_info`: motion type, dependency group, and joint parameters.
|
| 189 |
+
|
| 190 |
+
`kinematic_info.motion_info.dependency` lists the part IDs that move together.
|
| 191 |
+
For movable parts, `B` contains prismatic parameters and `C` contains revolute
|
| 192 |
+
parameters; `axis`, `pos`, `range`, and `damping` describe the corresponding
|
| 193 |
+
joint.
|
| 194 |
+
|
| 195 |
+
### Object-level annotations
|
| 196 |
+
|
| 197 |
+
`annotations/object.json` contains the object identity and global physical
|
| 198 |
+
properties:
|
| 199 |
+
|
| 200 |
+
```json
|
| 201 |
+
{
|
| 202 |
+
"object_name": "Example Object",
|
| 203 |
+
"category": "Furniture/StorageFurniture",
|
| 204 |
+
"volume": [70.0, 68.0, 110.0],
|
| 205 |
+
"mass": 15.5
|
| 206 |
+
}
|
| 207 |
+
```
|
| 208 |
+
|
| 209 |
+
`volume` is `[length, width, height]` in centimeters and `mass` is in
|
| 210 |
+
kilograms. The values above illustrate the schema; released files contain the
|
| 211 |
+
verified values for each entity.
|
| 212 |
+
|
| 213 |
+
## Download and prepare
|
| 214 |
+
|
| 215 |
+
Download this primary release:
|
| 216 |
+
|
| 217 |
+
```bash
|
| 218 |
+
hf download \
|
| 219 |
+
spatialverse/UniPhys-Bench \
|
| 220 |
+
--repo-type dataset \
|
| 221 |
+
--local-dir data/UniPhys-Bench
|
| 222 |
+
```
|
| 223 |
+
|
| 224 |
+
Generate model-ready point clouds:
|
| 225 |
+
|
| 226 |
+
```bash
|
| 227 |
+
python pre_process/generate_npzs.py \
|
| 228 |
+
--data_root data/UniPhys-Bench \
|
| 229 |
+
--output_dir data/UniPhys-Bench-processed/npzs
|
| 230 |
+
```
|
| 231 |
+
|
| 232 |
+
Generate one inference manifest for each evaluation task:
|
| 233 |
+
|
| 234 |
+
```bash
|
| 235 |
+
python pre_process/generate_jsons_for_inference.py \
|
| 236 |
+
--data_root data/UniPhys-Bench \
|
| 237 |
+
--npz_dir data/UniPhys-Bench-processed/npzs \
|
| 238 |
+
--output_dir data/UniPhys-Bench-processed/manifests
|
| 239 |
+
```
|
| 240 |
+
|
| 241 |
+
The command writes:
|
| 242 |
+
|
| 243 |
+
```text
|
| 244 |
+
manifests/
|
| 245 |
+
├── intrinsic_physics_part.json
|
| 246 |
+
├── intrinsic_physics_object.json
|
| 247 |
+
├── kinematic_parameters.json
|
| 248 |
+
└── articulation_structure.json
|
| 249 |
+
```
|
| 250 |
+
|
| 251 |
+
Each sample keeps its complete benchmark annotation. UniPhysGen inference
|
| 252 |
+
embeds that record as `source_sample`, which the evaluation package reads as
|
| 253 |
+
ground truth.
|
| 254 |
+
|
| 255 |
+
To reproduce results on the complete 1,927-object benchmark, also download
|
| 256 |
+
[UniPhys-Bench Part 2](https://huggingface.co/datasets/breezexian/UniPhys-Bench-Part2)
|
| 257 |
+
and evaluate both releases with the same protocol. Keep the original entity IDs
|
| 258 |
+
when preparing a combined data root.
|
| 259 |
+
|
| 260 |
+
## Evaluation protocol
|
| 261 |
+
|
| 262 |
+
The paper reports the following metrics:
|
| 263 |
+
|
| 264 |
+
| Category | Metrics |
|
| 265 |
+
| --- | --- |
|
| 266 |
+
| Kinematic parameters | joint-type accuracy, axis angular error in degrees, pivot-to-ground-truth-axis distance, and motion-range mIoU |
|
| 267 |
+
| Articulation structure | set mIoU and micro-F1 over motion-coupled part IDs |
|
| 268 |
+
| Material properties | material-category accuracy, density ALDE, and friction MAE |
|
| 269 |
+
| Object scale and mass | ALDE and MnRE for dimensions and mass |
|
| 270 |
+
| Affordance | MAE over the 1-10 affordance score |
|
| 271 |
+
|
| 272 |
+
Kinematic parameters are evaluated on ground-truth movable parts, separating
|
| 273 |
+
parameter estimation from movable-part identification. Axis directions `a` and
|
| 274 |
+
`-a` are treated as the same articulation axis. Pivot error is measured in a
|
| 275 |
+
shared AABB-normalized object frame as point-to-ground-truth-axis distance.
|
| 276 |
+
Motion ranges are canonicalized to unsigned intervals before computing IoU.
|
| 277 |
+
|
| 278 |
+
Run the four evaluators on prediction JSON files or directories of per-sample
|
| 279 |
+
records:
|
| 280 |
+
|
| 281 |
+
```bash
|
| 282 |
+
python -m eval intrinsic_physics_part PREDICTIONS \
|
| 283 |
+
--output intrinsic_physics_part_metrics.json
|
| 284 |
+
python -m eval intrinsic_physics_object PREDICTIONS \
|
| 285 |
+
--output intrinsic_physics_object_metrics.json
|
| 286 |
+
python -m eval kinematic_parameters PREDICTIONS \
|
| 287 |
+
--output kinematic_parameters_metrics.json
|
| 288 |
+
python -m eval articulation_structure PREDICTIONS \
|
| 289 |
+
--output articulation_structure_metrics.json
|
| 290 |
+
```
|
| 291 |
+
|
| 292 |
+
See the [UniPhysGen README](https://github.com/breezexian/UniPhysGen#reproducing-uniphys-bench-results)
|
| 293 |
+
for the complete inference workflow and checkpoint commands.
|
| 294 |
+
|
| 295 |
+
## Intended use
|
| 296 |
+
|
| 297 |
+
UniPhys-Bench is intended for research evaluation of unified physical
|
| 298 |
+
grounding, including articulation reasoning, physical-property estimation,
|
| 299 |
+
simulation-ready asset construction, embodied AI, and robotics simulation. It
|
| 300 |
+
is an evaluation benchmark and should not be mixed into UniPhysGen training or
|
| 301 |
+
model-selection data.
|
| 302 |
+
|
| 303 |
+
## Scope and usage considerations
|
| 304 |
+
|
| 305 |
+
- Human annotators verify and correct articulation annotations and assess
|
| 306 |
+
physical-property plausibility to support consistent research evaluation.
|
| 307 |
+
Physical values are reference estimates for the depicted objects.
|
| 308 |
+
- The benchmark cannot cover every object category, material, mechanism, part
|
| 309 |
+
granularity, or mesh failure mode.
|
| 310 |
+
- Results can depend on geometric completeness, scale correctness, texture
|
| 311 |
+
quality, and candidate part decomposition.
|
| 312 |
+
|
| 313 |
+
## Licensing and provenance
|
| 314 |
+
|
| 315 |
+
See [LICENSE](LICENSE) for the dataset terms that accompany this release.
|
| 316 |
+
|
| 317 |
+
- **Original UniPhys annotations and metadata:** licensed under
|
| 318 |
+
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), to the extent
|
| 319 |
+
that the UniPhysGen Authors hold the relevant rights. Commercial use of these
|
| 320 |
+
original contributions is permitted under the license terms.
|
| 321 |
+
- **Manycore-provided assets and derived representations:** meshes, textures,
|
| 322 |
+
materials, source annotations, URDF source assets, and derived geometry
|
| 323 |
+
remain subject to the applicable asset-specific release terms or
|
| 324 |
+
authorization from Manycore Tech. The annotation license does not grant
|
| 325 |
+
rights to these assets.
|
| 326 |
+
|
| 327 |
+
Use the `source` field in each entity's `meta_data.json` to retain the supplied
|
| 328 |
+
organization and license reference. Retain all required attribution, license,
|
| 329 |
+
and modification notices when sharing the data. Citing UniPhys-Bench does not
|
| 330 |
+
replace the applicable asset terms.
|
| 331 |
+
|
| 332 |
+
## Citation
|
| 333 |
+
|
| 334 |
+
```bibtex
|
| 335 |
+
@article{li2026uniphysgen,
|
| 336 |
+
title = {UniPhysGen: Unified Physical Grounding for Simulation-Ready 3D Assets},
|
| 337 |
+
author = {Li, Xian and Wei, Rong and Yang, Lujie and Huang, Haolin and Fang, Junyuan and Tang, Siliang and Xiao, Jun and Tang, Rui and Li, Juncheng},
|
| 338 |
+
journal = {arXiv preprint arXiv:2607.13586},
|
| 339 |
+
year = {2026}
|
| 340 |
+
}
|
| 341 |
+
```
|