Zhong Li
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add detailed readme
Browse files- .DS_Store +0 -0
- FaceBase/.DS_Store +0 -0
- README.md +44 -3
- facecover/.DS_Store +0 -0
- imgs/dataset_teaser.png +3 -0
- toytrain/.DS_Store +0 -0
.DS_Store
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FaceBase/.DS_Store
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README.md
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# [LumiView: A Synthetic Object Centric Dataset with Multiple View and Lighting](xxxx)
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[Zhong Li](https://sites.google.com/site/lizhong19900216)<sup>1</sup>,
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[Liangchen Song](https://lsongx.github.io/)<sup>2</sup>,
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[Zhang Chen](https://zhangchen8.github.io/)<sup>1</sup>,
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Xiangyu Du<sup>1</sup>,
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[Lele Chen](https://lelechen63.github.io/)<sup>1</sup>,
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[Junsong Yuan](https://cse.buffalo.edu/~jsyuan/)<sup>2</sup>,
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[Yi Xu](https://www.linkedin.com/in/yi-xu-42654823/)<sup>1</sup>,
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<sup>1</sup>OPPO US Research Center, <sup>2</sup>University at Buffalo
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<p align="center">
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<img src='imgs/dataset_teaser.png' width="750"/>
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</p>
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# Introduction
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> We used Blender’s physically based path tracer renderer and rendered 3 textured objects: `synthetic face`, `wood train`, and `face mask`. We set up 5 × 5 camera views on the front hemisphere, set 105 directional light sources around the full sphere, and render at a resolution of 800 × 800 pixels. Each camera differs by 10 degrees and each light source differs by 25 degrees on the sphere. Please download the dataset from this link: [BlenderData](xxxxx), and put them in the folder `data/BlenderData/`.
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# Dataset structure
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Each object has its own folder, and each folder contains the following files:
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- `cam_data_label.npz`: camera parameters labeled in label['imgname'],label['intrinsic'] ,label['R_bcam'],w2c_T = label['T_bcam'],l_dirs = label['light_dir'], please refer to the github code[link](xxxxx) for more details.
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- `xx_xx_xx_xx.png`: view and light index images.
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```
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root/
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|-- FaceBase/
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| |-- xx_xx_xx_xx.png # view and light index
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| |-- cam_data_label.npz
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|-- facecover/
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|-- toytrain/
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```
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# Citation
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```
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@inproceedings{li2023relitneulf,
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title={Relit-NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field},
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author={Li, Zhong, Song, Liangchen, Chen, Zhang, Du, Xiangyu, Chen, Lele, Yuan, Junsong, Xu, Yi},
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booktitle={Proceedings of the 31th ACM International Conference on Multimedia},
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year={2023}
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}
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```
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facecover/.DS_Store
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imgs/dataset_teaser.png
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Git LFS Details
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toytrain/.DS_Store
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Binary file (6.15 kB). View file
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