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 51100 of 304 papers

TitleStatusHype
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View TransformerCode1
Two-View Geometry Scoring Without CorrespondencesCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D ReconstructionCode1
SliceMatch: Geometry-guided Aggregation for Cross-View Pose EstimationCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
Self-Supervised Learning of Image Scale and OrientationCode1
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Neural Reprojection Error: Merging Feature Learning and Camera Pose EstimationCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Self-supervised Geometric PerceptionCode1
Progressive Correspondence Pruning by Consensus LearningCode1
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
Towards Accurate Active Camera LocalizationCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Why Having 10,000 Parameters in Your Camera Model Is Better Than TwelveCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Why Having 10,000 Parameters in Your Camera Model is Better Than TwelveCode1
SuperGlue: Learning Feature Matching with Graph Neural NetworksCode1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Collaborative Dense SLAMCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
π^3: Scalable Permutation-Equivariant Visual Geometry Learning0
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting RepresentationCode0
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures0
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories0
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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