C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Jiahui Kang, Qing Cai, Runqing Tan, Yimei Liu, Zhi Liu
Abstract
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.
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Cited by top-tier papers2
- DuCos: Duality Constrained Depth Super-Resolution via Foundation ModelZhiqiang Yan, Zhengxue Wang, Haoye Dong, Jun Li et al.ICCV 2025 · 3 citations
- SpatioTemporal Difference Network for Video Depth Super-ResolutionZhengxue Wang, Yuan Wu, Xiang Li, Zhiqiang Yan et al.AAAI 2026 · 2 citations
Builds on14
- Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave ConvolutionYunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan et al.ICCV 2019 · 665 citations
- Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionZixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin et al.CVPR 2022 · 120 citations
- Joint Implicit Image Function for Guided Depth Super-ResolutionJiaxiang Tang, Xiaokang Chen, Gang ZengACM MM 2021 · 78 citations
- SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolutionZhengxue Wang, Zhiqiang Yan, Jian YangAAAI 2024 · 64 citations
- Dual-Camera Super-Resolution with Aligned Attention ModulesTengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan et al.ICCV 2021 · 58 citations
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