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

Showing 3140 of 304 papers

TitleStatusHype
PVO: Panoptic Visual OdometryCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
Princeton365: A Diverse Dataset with Accurate Camera PoseCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Learning to Filter Outlier Edges in Global SfMCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
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Benchmark Results

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