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

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Showing 161–170 of 304 papers

TitleStatusHype
Unsupervised Learning of Camera Pose with Compositional Re-estimation—0
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video—0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames—0
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion—0
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry—0
Visual Correspondence Hallucination—0
Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis—0
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—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