metadata
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.
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 Pöllabauer 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}
}