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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 21–28 of 28 papers

TitleStatusHype
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution—0
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational ApproachCode0
PAG-Net: Progressive Attention Guided Depth Super-resolution Network—0
Deformable Kernel Networks for Joint Image FilteringCode1
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis—0
Joint convolutional neural pyramid for depth map super-resolution—0
ATGV-Net: Accurate Depth Super-Resolution—0
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution—0
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