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 2130 of 304 papers

TitleStatusHype
Enhancing Soccer Camera Calibration Through Keypoint ExploitationCode2
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car ReconstructionCode2
GLACE: Global Local Accelerated Coordinate EncodingCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
COLMAP-Free 3D Gaussian SplattingCode2
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle AdjustmentCode2
SiLK -- Simple Learned KeypointsCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
Show:102550
← PrevPage 3 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