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 11–20 of 304 papers

TitleStatusHype
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth—0
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph—0
Large-scale visual SLAM for in-the-wild videos—0
SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos—0
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMsCode2
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction—0
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds—0
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—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