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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 11–20 of 28 papers

TitleStatusHype
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational ApproachCode0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and BaselineCode0
ATGV-Net: Accurate Depth Super-Resolution—0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution—0
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution—0
Joint convolutional neural pyramid for depth map super-resolution—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
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