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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 111–120 of 304 papers

TitleStatusHype
Learning Probabilistic Coordinate Fields for Robust Correspondences—0
Two-View Geometry Scoring Without CorrespondencesCode1
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow—0
RoMa: Robust Dense Feature MatchingCode3
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares—0
Edge-aware Consistent Stereo Video Depth Estimation—0
Region contrastive camera localizationCode0
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation—0
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motionCode0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Show:102550
← PrevPage 12 of 31Next →

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