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 91–100 of 304 papers

TitleStatusHype
Collaborative Dense SLAMCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Event-based Stereo Visual OdometryCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Adversarial Transfer of Pose Estimation Regression—0
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration 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