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 76100 of 304 papers

TitleStatusHype
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Learning to Filter Outlier Edges in Global SfMCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint LearningCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
DepthMOT: Depth Cues Lead to a Strong Multi-Object TrackerCode1
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
Bimodal Camera Pose Prediction for EndoscopyCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
Self-supervised Geometric PerceptionCode1
Event-based Stereo Visual OdometryCode1
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar MarkersCode1
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
Relative Camera Pose Estimation Using Convolutional Neural NetworksCode0
Region contrastive camera localizationCode0
Render-and-Compare: Cross-View 6 DoF Localization from Noisy PriorCode0
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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