Cornell-Box Dataset ## Download The CornellBox Dataset can be downloaded from this URL >https://viscom.datasets.uni-ulm.de/radu/dataset.zip ## Dataset 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. ## Citing this work If you use this data in your work, please kindly cite the following paper: @InProceedings{schelling2022radu, author = {Schelling, Michael and Hermosilla, Pedro and Ropinski, Timo}, title = {{RADU} - Ray-Aligned Depth Update Convolutions for {ToF} Data Denoising}, booktitle = {Conference on Computer Vision and Patter Recognition (CVPR)}, year = {2022} } ## References 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).

An extension of the Cornell-Box Time-of-Flight Dataset (https://paperswithcode.com/dataset/cb-tof) containing moving objects. It follows the same data structure.