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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
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution—0
ATGV-Net: Accurate Depth Super-Resolution—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution—0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Joint convolutional neural pyramid for depth map super-resolution—0
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution—0
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