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 81–90 of 304 papers

TitleStatusHype
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
Extreme Two-View Geometry From Object Poses with Diffusion ModelsCode1
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras—0
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos—0
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR—0
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision—0
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation—0
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis—0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM—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