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 1120 of 304 papers

TitleStatusHype
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single VideoCode3
WHAC: World-grounded Humans and CamerasCode3
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
RoMa: Robust Dense Feature MatchingCode3
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
HumanMM: Global Human Motion Recovery from Multi-shot VideosCode2
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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