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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 304 papers

TitleStatusHype
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation—0
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians—0
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth—0
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph—0
Large-scale visual SLAM for in-the-wild videos—0
SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos—0
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction—0
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds—0
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—0
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds—0
GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—0
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image—0
VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames—0
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion—0
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting—0
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges—0
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views—0
Light3R-SfM: Towards Feed-forward Structure-from-Motion—0
JOG3R: Towards 3D-Consistent Video Generators—0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose 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