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
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
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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