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README.md

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-license: mit
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+---
+license: mit
+---
+We provide our physically-based renderings of the YCB-V object dataset randomized YCB-V (YCB-V-RAND) with **randomized texture**, **randomized material**, and **randomized lighting**, allowing to benchmark the influence of such variations on the task of 2D object detection and 6DoF object pose estimation. For more details on the dataset, please take a look on our paper referenced below.  
+
+![Teaser Image](teaser.jpg)
+
+
+If you find our work useful, please consider citing our work.  
+```
+@inproceedings{poellabauer2024NERF,
+  title={Generalizing Neural Radiance Fields for Robust 6D Pose Estimation of Unseen Appearances}, 
+  author={Thomas P{\"o}llabauer and Wirth, Tristan and Weitz, Paul and Knauthe, Volker and Kuijper, Arjan and  Fellner, Dieter},
+  series={Lecture Notes in Computer Science},
+  booktitle={Proceedings of the 19th International Symposium on Visual Computing (ISCV24)},
+  year={2024}
+}
+```