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 271–280 of 304 papers

TitleStatusHype
JOG3R: Towards 3D-Consistent Video Generators—0
P3.5P: Pose Estimation With Unknown Focal Length—0
π^3: Scalable Permutation-Equivariant Visual Geometry Learning—0
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation—0
Perspective-1-Ellipsoid: Formulation, Analysis and Solutions of the Camera Pose Estimation Problem from One Ellipse-Ellipsoid Correspondence—0
Perspective Plane Program Induction from a Single Image—0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
Pose Estimation and Tracking for ASIST—0
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks—0
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth—0
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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