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.
High-resolution depth maps imaging via attention-based hierarchical multi-modal fusion.IEEE Transactions on Image Processing, 31:648–663
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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.