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@article{haefner2020tpami,
 title = {Photometric Depth Super-Resolution},
 author = {B. Haefner and S. Peng and A. Verma and Y. Quéau and D. Cremers},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
 year = {2020},
 volume = {42},
 number = {10},
 pages = {2453-2464},
 doi = {10.1109/TPAMI.2019.2923621},
 eprint = {1809.10097},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 titleurl = {haefner2020tpami.pdf},
 keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}

@inproceedings{haefner2018cvpr,
 title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},
 author = {B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
 booktitle = {I{EEE}/{CVF} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
    (CVPR)},
 year = {2018},
 doi = {10.1109/CVPR.2018.00025},
 titleurl = {haefner2018cvpr.pdf},
 award = {Spotlight Presentation},
 keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}

@inproceedings{peng2017,
 title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
 author = {S. Peng and B. Haefner and Y. Quéau and D. Cremers},
 booktitle = {{IEEE International Conference on Computer Vision Workshops (ICCVW)}},
 year = {2017},
 doi = {10.1109/ICCVW.2017.349},
 eprint = {1708.00411},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
 titleurl = {peng2017iccvw.pdf},
 keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}