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
Reconstructing People, Places, and CamerasCode2
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car ReconstructionCode2
PVO: Panoptic Visual OdometryCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
GLACE: Global Local Accelerated Coordinate EncodingCode2
COLMAP-Free 3D Gaussian SplattingCode2
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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