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 26–50 of 304 papers

TitleStatusHype
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated VideosCode2
PVO: Panoptic Visual OdometryCode2
Reconstructing People, Places, and CamerasCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
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
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Learning to Filter Outlier Edges in Global SfMCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Towards Accurate Active Camera LocalizationCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Collaborative Dense SLAMCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Show:102550
← PrevPage 2 of 13Next →

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