Depth Map Super-Resolution

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (28 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
  14 Apr 2021 2 repositories listed
  Guided depth super-resolution (GDSR) is an essential topic in multi-modal image processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones collected with suboptimal conditions with the help…
• Deformable Kernel Networks for Joint Image Filtering
  17 Oct 2019 2 repositories listed
  Previous methods based on convolutional neural networks (CNNs) combine nonlinear activations of spatially-invariant kernels to estimate structural details and regress the filtering result.
• Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution
  5 Nov 2024 1 repository listed
  In addition, we develop the global geometry encoder (GGE) that aims at suppressing noise and extracting global geometric information effectively via constructing compact feature representation in a low-rank space.
• SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution
  10 Dec 2023 1 repository listed
  Recent image guided DSR approaches mainly focus on spatial domain to rebuild depth structure.
• Guided Depth Map Super-resolution: A Survey
  19 Feb 2023 1 repository listed
  Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution (HR) depth map from a low-resolution (LR) observation with the help of a paired HR color image, is a longstanding and fundamental…
• Learning Continuous Depth Representation via Geometric Spatial Aggregator
  7 Dec 2022 1 repository listed
  Depth map super-resolution (DSR) has been a fundamental task for 3D computer vision.
• Deep Attentional Guided Image Filtering
  13 Dec 2021 1 repository listed
  Specifically, we propose an attentional kernel learning module to generate dual sets of filter kernels from the guidance and the target, respectively, and then adaptively combine them by modeling the pixel-wise…
• Unpaired Depth Super-Resolution in the Wild
  25 May 2021 1 repository listed
  We propose an unpaired learning method for depth super-resolution, which is based on a learnable degradation model, enhancement component and surface normal estimates as features to produce more accurate depth maps.
• Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
  13 Apr 2021 1 repository listed
  Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks.
• High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion
  4 Apr 2021 1 repository listed
  Specifically, to effectively extract and combine relevant information from LR depth and HR guidance, we propose a multi-modal attention based fusion (MMAF) strategy for hierarchical convolutional layers, including a…
• Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
  13 Dec 2019 1 repository listed
  A novel approach towards depth map super-resolution using multi-view uncalibrated photometric stereo is presented.