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C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution

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Guided depth super-resolution (GDSR) has demonstrated impressive performance across a wide range of domains, with numerous methods being proposed. However, existing methods often treat depth maps as images, where shading values are computed discretely, making them struggle to effectively restore the continuity inherent in the depth map. In this paper, we propose a novel approach that maximizes the utilization of spatial characteristics in depth, coupled with human abstract perception of real-world substance, by transforming the GDSR issue into deformation of a roughcast with ideal plasticity, which can be deformed by force like a continuous object. Specifically, we firstly designed a cross-modal operation, Continuity-constrained Asymmetrical Pixelwise Operation (CAPO), which can mimic the process of deforming an isovolumetrically flexible object through external forces. Utilizing CAPO as the fundamental component, we develop the Pixelwise Cross Gradient Deformation (PCGD), which is capable of emulating operations on ideal plastic objects (without volume constraint). Notably, our approach demonstrates state-of-the-art performance across four widely adopted benchmarks for GDSR, with significant advantages in large-scale tasks and generalizability.

Jiahui Kang, Qing Cai, Runqing Tan, Yimei Liu, Zhi Liu• 2025

Related benchmarks

TaskDatasetResultRank
Depth Super-ResolutionTOFDSR
RMSE0.0718
30
Depth Super-ResolutionRGB-D-D
RMSE0.0714
30
RGB-guided depth Super-ResolutionMiddlebury x4 scale 2006
RMSE2.06
17
RGB-guided depth Super-ResolutionMiddlebury x8 scale 2006
RMSE3.15
17
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