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 151–175 of 304 papers

TitleStatusHype
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis—0
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation—0
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and MatchingCode0
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection—0
Pose Estimation and Tracking for ASIST—0
Robot Hand-Eye Calibration using Structure-from-Motion—0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—0
AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic ScalingCode0
Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor—0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models—0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
Learning Probabilistic Coordinate Fields for Robust Correspondences—0
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow—0
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
Accelerating Globally Optimal Consensus Maximization in Geometric Vision—0
Event-based Camera Tracker by t NeRF—0
Learning Rotation-Equivariant Features for Visual Correspondence—0
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System—0
Render-and-Compare: Cross-View 6 DoF Localization from Noisy PriorCode0
SiLK: Simple Learned Keypoints—0
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
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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