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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
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Scene Prior Filtering for Depth Super-Resolution—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
Cutting-Edge Techniques for Depth Map Super-Resolution—0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
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
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and BaselineCode0
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