SOTAVerified

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

Showing 110 of 28 papers

TitleStatusHype
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-ResolutionCode1
Guided Depth Map Super-resolution: A SurveyCode1
Learning Continuous Depth Representation via Geometric Spatial AggregatorCode1
Deep Attentional Guided Image FilteringCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal FusionCode1
Deformable Kernel Networks for Joint Image FilteringCode1
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-ResolutionCode0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.