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Depth Map Super-Resolution

Depth map super-resolution is the task of upsampling depth images.

( Image credit: A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution )

Papers

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Showing 1–10 of 28 papers

Title	Date	Tasks	Status	Hype	Score
Deep Attentional Guided Image Filtering	Dec 13, 2021	Collaborative FilteringDepth Image Upsampling	CodeCode Available	1	5
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution	Apr 14, 2021	Depth EstimationDepth Map Super-Resolution	CodeCode Available	1	5
Guided Depth Map Super-resolution: A Survey	Feb 19, 2023	Depth Image UpsamplingDepth Map Super-Resolution	CodeCode Available	1	5
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution	Dec 10, 2023	Depth Map Super-ResolutionSuper-Resolution	CodeCode Available	1	5
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion	Apr 4, 2021	Depth Map Super-ResolutionSuper-Resolution	CodeCode Available	1	5
Learning Continuous Depth Representation via Geometric Spatial Aggregator	Dec 7, 2022	Depth Map Super-ResolutionSuper-Resolution	CodeCode Available	1	5
Deformable Kernel Networks for Joint Image Filtering	Oct 17, 2019	Depth Map Super-ResolutionImage Restoration	CodeCode Available	1	5
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach	Dec 13, 2019	Depth Map Super-ResolutionSuper-Resolution	CodeCode Available	0	5
DSR-Diff: Depth Map Super-Resolution with Diffusion Model	Nov 16, 2023	3D ReconstructionDepth Map Super-Resolution	CodeCode Available	0	5
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution	Nov 5, 2024	Depth Map Super-ResolutionSuper-Resolution	CodeCode Available	0	5

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