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 121130 of 304 papers

TitleStatusHype
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
JOG3R: Towards 3D-Consistent Video Generators0
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation0
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences0
Scaling 4D Representations0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos0
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild0
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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