The CornellBox Dataset can be downloaded from this URL
The dataset contains correlation measurements, ToF depth images and ground truth depth images in .hdr format.
The script simulate_noise_on_correlations.py can be used to simulate shot noise on the correlation images using the default arguments.
If you use this data in your work, please kindly cite the following paper:
@InProceedings{Schelling_2022_CVPR,
author = {Schelling, Michael and Hermosilla, Pedro and Ropinski, Timo},
title = {RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {671-680}
}
The data was generated using the transient renderer of Jarabo et al. [1].
[1] Jarabo, A., Marco, J., Muñoz, A., Buisan, R., Jarosz, W., Gutierrez, D.: "A framework for transient rendering" ACM Transactions on Graphics, SIGGRAPH ASIA, (2014).