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 3140 of 304 papers

TitleStatusHype
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison0
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes0
FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views0
Light3R-SfM: Towards Feed-forward Structure-from-Motion0
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward PassCode5
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
JOG3R: Towards 3D-Consistent Video Generators0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation0
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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