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 51–60 of 304 papers

TitleStatusHype
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild—0
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian SplattingCode0
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
Robust Two-View Geometry Estimation with Implicit DifferentiationCode0
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
Enhancing Soccer Camera Calibration Through Keypoint ExploitationCode2
MonST3R: A Simple Approach for Estimating Geometry in the Presence of MotionCode5
PuzzleBoard: A New Camera Calibration Pattern with Position EncodingCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation—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