add detailed readme

README.md

@@ -1,3 +1,44 @@
----
-license: mit
----
+#  [LumiView: A Synthetic Object Centric Dataset with Multiple View and Lighting](xxxx)  
+[Zhong Li](https://sites.google.com/site/lizhong19900216)<sup>1</sup>,
+ [Liangchen Song](https://lsongx.github.io/)<sup>2</sup>,
+ [Zhang Chen](https://zhangchen8.github.io/)<sup>1</sup>,
+ Xiangyu Du<sup>1</sup>,
+ [Lele Chen](https://lelechen63.github.io/)<sup>1</sup>,
+ [Junsong Yuan](https://cse.buffalo.edu/~jsyuan/)<sup>2</sup>,
+ [Yi Xu](https://www.linkedin.com/in/yi-xu-42654823/)<sup>1</sup>,  
+ <sup>1</sup>OPPO US Research Center, <sup>2</sup>University at Buffalo
+
+
+<p align="center">
+  <img src='imgs/dataset_teaser.png' width="750"/>
+</p>
+
+# Introduction
+
+> 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/`.
+
+# Dataset structure
+Each object has its own folder, and each folder contains the following files:
+- `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.
+
+- `xx_xx_xx_xx.png`: view and light index images.
+```
+root/
+|-- FaceBase/
+|   |-- xx_xx_xx_xx.png # view and light index
+|   |-- cam_data_label.npz
+|-- facecover/
+|-- toytrain/
+```
+
+
+# Citation
+
+```
+@inproceedings{li2023relitneulf,
+  title={Relit-NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field},
+  author={Li, Zhong, Song, Liangchen, Chen, Zhang, Du, Xiangyu, Chen, Lele, Yuan, Junsong, Xu, Yi},
+  booktitle={Proceedings of the 31th ACM International Conference on Multimedia},
+  year={2023}
+}
+```