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.
Joint image filtering with deep convolutional networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(8):1909–1923
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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.