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Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (bibtex)
by B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers
Reference:
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [slides] [code] [cvf] [video])
Bibtex Entry:
@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},
}
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