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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
Guided Depth Map Super-resolution: A SurveyCode1
Learning Continuous Depth Representation via Geometric Spatial AggregatorCode1
Deep Attentional Guided Image FilteringCode1
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation—0
Unpaired Depth Super-Resolution in the WildCode0
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and BaselineCode0
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal FusionCode1
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution—0
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