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BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

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BlendedMVS

About the Dataset

BlendedMVS is a large-scale MVS dataset for generalized multi-view stereo networks. The dataset contains over 17k MVS training samples covering a variety of scenes, including architectures, sculptures and small objects. If you find the dataset useful for your research, please cite:

@article{yao2019blendedmvs,
  title={BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks},
  author={Yao, Yao and Luo, Zixin and Li, Shiwei and Zhang, Jingyang and Ren, Yufan and Zhou, Lei and Fang, Tian and Quan, Long},
  journal={arXiv:1911.10127 [cs.CV]},
  year={2019}
}

To visualize each scene via Altizure online platform, please go to https://www.altizure.com/project-model?pid=PID, where PID is the unique project ID (e.g., 5bfe5ae0fe0ea555e6a969ca). All PID are listed in the all_list.txt file.

License

Creative Commons License
BlendedMVS is licensed under a Creative Commons Attribution 4.0 International License!!!

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We provide both high-resolution and low-resolution training data in BlendedMVS dataset.

  • High-resolution set: Image and depth map resolutions are set to 2048 x 1536.
  • Low-resolution set: Image and depth map resolutions are set to 768 x 576.

Currently the low-resolution set is provided for MVSNet training, the high-resolution set is provided upon request.

Dataset Structure

BlendedMVS dataset adopts MVSNet input format. The dataset structure is listed below:

BlendedMVS                      
├── all_list.txt                
├── training_list.txt           
├── validation_list.txt         
├── PID0                        
│   ├── blended_images          
│   │	├── 00000000.jpg        
│   │	├── 00000001.jpg        
│   │	└── ...                 
│   ├── cams                    
│   │  	├── 00000000_cam.txt    
│   │  	├── 00000001_cam.txt    
│   │  	└── ...                 
│   ├── rendered_depth_maps     
│   │  	├── 00000000.pfm        
│   │  	├── 00000001.pfm        
│   │  	└── ...                 
│   └── pair.txt                
├── PID1                        
├── ...                         
└── PID112                      

PID here is the unique project ID listed in the all_list.txt file. For file formats of other training inputs, users may refer to MVSNet for more details.

TODO:

  1. Training and validation codes.

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BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

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