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 41–50 of 304 papers

TitleStatusHype
Towards Accurate Active Camera LocalizationCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Collaborative Dense SLAMCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
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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