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 201–250 of 304 papers

TitleStatusHype
Learnable Motion Coherence for Correspondence Pruning—0
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
Learning Probabilistic Coordinate Fields for Robust Correspondences—0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—0
Learning Rotation-Equivariant Features for Visual Correspondence—0
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing—0
LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives—0
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences—0
Light3R-SfM: Towards Feed-forward Structure-from-Motion—0
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds—0
Line-based Camera Pose Estimation in Point Cloud of Structured Environments—0
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization—0
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization—0
Long-term 3D Localization and Pose from Semantic Labellings—0
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR—0
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction—0
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras—0
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose—0
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression—0
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges—0
S3LAM: Structured Scene SLAM—0
Sampling Based Scene-Space Video Processing—0
Scalable Structure From Motion for Densely Sampled Videos—0
Scaling 4D Representations—0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?—0
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision—0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay—0
SiLK: Simple Learned Keypoints—0
Simultaneous Super-Resolution of Depth and Images Using a Single Camera—0
Single Image Camera Calibration With Lenticular Arrays for Augmented Reality—0
Single-image camera calibration with model-free distortion correction—0
SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos—0
Sparse Optical Flow-Based Line Feature Tracking—0
SparsePose: Sparse-View Camera Pose Regression and Refinement—0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos—0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph—0
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation—0
Toon3D: Seeing Cartoons from New Perspectives—0
Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor—0
Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
TRPLP - Trifocal Relative Pose From Lines at Points—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis—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