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 61–70 of 304 papers

TitleStatusHype
Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS—0
Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis—0
E^3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images—0
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car ReconstructionCode2
RADA: Robust and Accurate Feature Learning with Domain Adaptation—0
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric LocalizationCode0
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint LearningCode1
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction—0
GLACE: Global Local Accelerated Coordinate EncodingCode2
Intensity and Texture Correction of Omnidirectional Image Using Camera Images for Indirect Augmented Reality—0
Show:102550
← PrevPage 7 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