DegBins uses degradation-driven binning and multi-stage refinement to turn residual depth regression into a more flexible hybrid classification-regression problem that outperforms prior depth super-resolution methods on five benchmarks.
Deformable kernel networks for joint image filtering.International Journal of Computer Vision, 129(2):579–600
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DegBins: Degradation-Driven Binning for Depth Super-Resolution
DegBins uses degradation-driven binning and multi-stage refinement to turn residual depth regression into a more flexible hybrid classification-regression problem that outperforms prior depth super-resolution methods on five benchmarks.