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
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild—0
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings—0
Depth Camera Tracking With Contour Cues—0
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries—0
DiffPoseNet: Direct Differentiable Camera Pose Estimation—0
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System—0
Direct Structure Estimation for 3D Reconstruction—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Edge-aware Consistent Stereo Video Depth Estimation—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—0
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion—0
End-to-End Camera Calibration for Broadcast Videos—0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation—0
Estimating 3D Camera Pose from 2D Pedestrian Trajectories—0
Estimating more camera poses for ego-centric videos is essential for VQ3D—0
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging—0
Event-based Camera Tracker by t NeRF—0
FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation—0
FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Five Shades of Grey for Fast and Reliable Camera Pose Estimation—0
FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views—0
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow—0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty—0
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting—0
GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion—0
GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation—0
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence—0
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation—0
Hybrid Camera Pose Estimation—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation—0
Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality—0
Introduction to Camera Pose Estimation with Deep Learning—0
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence—0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences—0
Large-scale visual SLAM for in-the-wild videos—0
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
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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