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
SuperGF: Unifying Local and Global Features for Visual Localization—0
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph—0
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation—0
Toon3D: Seeing Cartoons from New Perspectives—0
Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor—0
Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
TRPLP - Trifocal Relative Pose From Lines at Points—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis—0
Unsupervised Learning of Camera Pose with Compositional Re-estimation—0
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video—0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames—0
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion—0
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry—0
Visual Correspondence Hallucination—0
Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis—0
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—0
How to improve CNN-based 6-DoF camera pose estimation—0
E^3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images—0
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians—0
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation—0
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers—0
Show:102550
← PrevPage 7 of 13Next →

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