SOTAVerified

Camera Pose Estimation

Camera pose estimation is a crucial task in computer vision and robotics that involves determining the position and orientation (pose) of a camera relative to a given reference frame. This task is essential for various applications, such as augmented reality, 3D reconstruction, SLAM, and autonomous navigation.

Papers

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Showing 51–75 of 304 papers

TitleStatusHype
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View TransformerCode1
Two-View Geometry Scoring Without CorrespondencesCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D ReconstructionCode1
SliceMatch: Geometry-guided Aggregation for Cross-View Pose EstimationCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
Self-Supervised Learning of Image Scale and OrientationCode1
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21—Unverified
2SfMLearnerAverage Translational Error et[%]29.78—Unverified
3GeoNetAverage Translational Error et[%]26.31—Unverified
4SC-DepthAverage Translational Error et[%]12.2—Unverified
5DeepMatchVOAverage Translational Error et[%]11.05—Unverified
6SCIPaDAverage Translational Error et[%]8.63—Unverified
7Manydepth2Average Translational Error et[%]7.15—Unverified