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 1–50 of 304 papers

TitleStatusHype
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward PassCode5
MonST3R: A Simple Approach for Estimating Geometry in the Presence of MotionCode5
SpatialTrackerV2: 3D Point Tracking Made EasyCode4
Easi3R: Estimating Disentangled Motion from DUSt3R Without TrainingCode4
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
One Diffusion to Generate Them AllCode4
Cameras as Rays: Pose Estimation via Ray DiffusionCode4
GIM: Learning Generalizable Image Matcher From Internet VideosCode4
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
LightGlue: Local Feature Matching at Light SpeedCode4
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single VideoCode3
WHAC: World-grounded Humans and CamerasCode3
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
RoMa: Robust Dense Feature MatchingCode3
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated VideosCode2
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMsCode2
HumanMM: Global Human Motion Recovery from Multi-shot VideosCode2
Reconstructing People, Places, and CamerasCode2
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting SynthesisCode2
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
Enhancing Soccer Camera Calibration Through Keypoint ExploitationCode2
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car ReconstructionCode2
GLACE: Global Local Accelerated Coordinate EncodingCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
COLMAP-Free 3D Gaussian SplattingCode2
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle AdjustmentCode2
SiLK -- Simple Learned KeypointsCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
PVO: Panoptic Visual OdometryCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
Princeton365: A Diverse Dataset with Accurate Camera PoseCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Learning to Filter Outlier Edges in Global SfMCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
PuzzleBoard: A New Camera Calibration Pattern with Position EncodingCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint LearningCode1
DepthMOT: Depth Cues Lead to a Strong Multi-Object TrackerCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
Extreme Two-View Geometry From Object Poses with Diffusion ModelsCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo PairsCode1
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance FieldsCode1
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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