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

Showing 6170 of 304 papers

TitleStatusHype
Learning to Filter Outlier Edges in Global SfMCode1
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
Event-based Stereo Visual OdometryCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
Extreme Two-View Geometry From Object Poses with Diffusion ModelsCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
Show:102550
← PrevPage 7 of 31Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21Unverified
2SfMLearnerAverage Translational Error et[%]29.78Unverified
3GeoNetAverage Translational Error et[%]26.31Unverified
4SC-DepthAverage Translational Error et[%]12.2Unverified
5DeepMatchVOAverage Translational Error et[%]11.05Unverified
6SCIPaDAverage Translational Error et[%]8.63Unverified
7Manydepth2Average Translational Error et[%]7.15Unverified