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Depth Prediction

Papers

Showing 101125 of 422 papers

TitleStatusHype
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the massesCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Self-distilled Feature Aggregation for Self-supervised Monocular Depth EstimationCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View StereoCode1
Deeper Depth Prediction with Fully Convolutional Residual NetworksCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward EquilibriumCode1
GEDepth: Ground Embedding for Monocular Depth EstimationCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
Estimating Image Depth in the Comics DomainCode1
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT NavigationCode1
Efficient Neural Radiance Fields for Interactive Free-viewpoint VideoCode1
Boundary-induced and scene-aggregated network for monocular depth predictionCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor ScenesCode1
Learning Monocular Dense Depth from EventsCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce ModelCode1
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