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 191–200 of 304 papers

TitleStatusHype
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation—0
Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality—0
Introduction to Camera Pose Estimation with Deep Learning—0
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence—0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences—0
Large-scale visual SLAM for in-the-wild videos—0
Show:102550
← PrevPage 20 of 31Next →

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