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 51–100 of 304 papers

TitleStatusHype
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Towards Accurate Active Camera LocalizationCode1
Extreme Two-View Geometry From Object Poses with Diffusion ModelsCode1
Self-supervised Geometric PerceptionCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Self-Supervised Learning of Image Scale and OrientationCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint LearningCode1
PuzzleBoard: A New Camera Calibration Pattern with Position EncodingCode1
Wide-Baseline Relative Camera Pose Estimation with Directional LearningCode1
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
Neural Reprojection Error: Merging Feature Learning and Camera Pose EstimationCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Learning to Filter Outlier Edges in Global SfMCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D ReconstructionCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
DepthMOT: Depth Cues Lead to a Strong Multi-Object TrackerCode1
Princeton365: A Diverse Dataset with Accurate Camera PoseCode1
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View TransformerCode1
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
Collaborative Dense SLAMCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
Event-based Stereo Visual OdometryCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
Adversarial Transfer of Pose Estimation Regression—0
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation—0
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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