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

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Showing 151–200 of 304 papers

TitleStatusHype
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry—0
Self-Supervised Learning of Image Scale and OrientationCode1
Unsupervised Learning of 3D Scene Flow from Monocular CameraCode0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation—0
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video—0
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation—0
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
Sparse Optical Flow-Based Line Feature Tracking—0
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
DiffPoseNet: Direct Differentiable Camera Pose Estimation—0
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction—0
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training—0
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered ModalitiesCode0
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic GraphCode0
Camera Pose Estimation Using Implicit Distortion Models—0
ScaleNet: A Shallow Architecture for Scale EstimationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis—0
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion—0
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
S3LAM: Structured Scene SLAM—0
Reassessing the Limitations of CNN Methods for Camera Pose Regression—0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Visual Correspondence Hallucination—0
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
3D-Aware Ellipse Prediction for Object-Based Camera Pose EstimationCode0
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty—0
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks—0
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
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
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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