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OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction

Zheng Dang1 · Jialu Huang2 · Fei Wang2 · Mathieu Salzmann1

1EPFL CVLAb, Switzerland 2 Xi'an Jiaotong University, China

Paper

WebPage

image/png

Dataset

[+] 1001 unique shapes

[+] 295 material types with laboratory measured IOR

[+] 723 lighting conditions

[+] Physical based rendering with costomized BSDF for each material type

[+] 1001 uniques scenes, for each scene 90 images (50 for training, 40 for testing) with object mask, depth, camera pose, materail type annotations.

Example Images

image/png

Click to see more examples

image/png image/png image/png

Data structure

.
├── name_of_object/[lighing_condition_name]-[material_type]-[material_name]
│   ├── train
│   │   ├── images
│   │   │   ├── 000000.png
│   │   │   |-- ...
│   │   └── mask
│   │   │   ├── 000000.png
│   │   │   |-- ...
│   │   └── depth
│   │       ├── 000000.png
│   │       |-- ...
│   ├── test
│   │   ├── images
│   │   │   ├── 000000.png
│   │   │   |-- ...
│   │   └── mask
│   │   │   ├── 000000.png
│   │   │   |-- ...
│   │   └── depth
│   │       ├── 000000.png
│   │       |-- ...
│   └── transformas_train.json
│   └── transformas_test.json

Usage

Going to have a example code at the link.

Citation

If you find our work useful in your research, please cite:

@article{Dang24,
    title={OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction},
    author={Zheng Dang and Jialu Huang and Fei Wang and Mathieu Salzmann},
    journal={arXiv preprint arXiv:2406.08894},
    year={2024}
}

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