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Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (bibtex)
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 Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [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} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
    (CVPR)},
 year = {2018},
 titleurl = {haefner2018cvpr.pdf},
 award = {Spotlight Presentation},
 keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
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