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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

TitleStatusHype
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-ResolutionCode0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Scene Prior Filtering for Depth Super-Resolution—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-ResolutionCode1
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
Cutting-Edge Techniques for Depth Map Super-Resolution—0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
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