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Depth Prediction

Papers

Showing 2650 of 422 papers

TitleStatusHype
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth PredictionCode2
Learning to Recover 3D Scene Shape from a Single ImageCode2
Semantically-Guided Representation Learning for Self-Supervised Monocular DepthCode2
Enforcing geometric constraints of virtual normal for depth predictionCode2
MonoMVSNet: Monocular Priors Guided Multi-View Stereo NetworkCode1
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT NavigationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane SweepsCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic FusionCode1
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D PerceptionCode1
Depth-aware Test-Time Training for Zero-shot Video Object SegmentationCode1
NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D DetectionCode1
RIDERS: Radar-Infrared Depth Estimation for Robust SensingCode1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor ScenesCode1
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View StereoCode1
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth CompletionCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
Stanford-ORB: A Real-World 3D Object Inverse Rendering BenchmarkCode1
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
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