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 131–140 of 304 papers

TitleStatusHype
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D ReconstructionCode1
SparsePose: Sparse-View Camera Pose Regression and Refinement—0
SliceMatch: Geometry-guided Aggregation for Cross-View Pose EstimationCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
Estimating more camera poses for ego-centric videos is essential for VQ3D—0
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose—0
Robustifying the Multi-Scale Representation of Neural Radiance Fields—0
Show:102550
← PrevPage 14 of 31Next →

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