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 4150 of 304 papers

TitleStatusHype
Learning to Filter Outlier Edges in Global SfMCode1
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences0
Reconstructing People, Places, and CamerasCode2
Scaling 4D Representations0
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos0
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers0
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting SynthesisCode2
One Diffusion to Generate Them AllCode4
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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