AI RESEARCH
DegBins: Degradation-Driven Binning for Depth Super-Resolution
arXiv CS.CV
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ArXi:2605.09628v1 Announce Type: new Depth super-resolution (DSR) aims to recover a high-resolution (HR) depth map from its low-resolution (LR) counterpart. With color image guidance, this task is typically formulated as learning the residual between HR and LR in a low-dimensional feature space. However, this additive formulation is insufficient to accurately capture the complex relationship between HR and LR, especially under spatially varying degradations. In this paper, we