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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
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution—0
PAG-Net: Progressive Attention Guided Depth Super-resolution Network—0
Scene Prior Filtering for Depth Super-Resolution—0
Cutting-Edge Techniques for Depth Map Super-Resolution—0
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
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