Deep Primal-Dual Networks
Datasets
The training data used for the depth only super-resolution method is available here. It consists of three tar files, one for each benchmark dataset used in our paper:
- dataset_mb.tar: noiseless Middleburry
- dataset_nmb.tar: noisy Middleburry
- dataset_tm_ta.tar: ToFMark
They mainly differ in the scaling of the depth values.
The training data for the guided depth super-resolution is available here.
Publications
The papers explaining the methods are on arxiv:
- ATGV-Net: Accurate Depth Super-Resolution
- A Deep Primal-Dual Network for Guided Depth Super-Resolution
If you find the code, or the data useful for your research, please cite
@inproceedings{riegler16dsr,
title={ATGV-Net: Accurate Depth Super-Resolution},
author={Riegler, Gernot and R\"{u}ther, Matthias and Bischof Horst},
booktitle={European Conference on Computer Vision},
year={2016}
}
@inproceedings{riegler16gdsr,
title={A Deep Primal-Dual Network for Guided Depth Super-Resolution},
author={Riegler, Gernot and Ferstl, David and R\"{u}ther, Matthias and Bischof Horst},
booktitle={British Machine Vision Conference},
year={2016}
}