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
Easi3R: Estimating Disentangled Motion from DUSt3R Without TrainingCode4
GIM: Learning Generalizable Image Matcher From Internet VideosCode4
LightGlue: Local Feature Matching at Light SpeedCode4
One Diffusion to Generate Them AllCode4
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
SpatialTrackerV2: 3D Point Tracking Made EasyCode4
Cameras as Rays: Pose Estimation via Ray DiffusionCode4
WHAC: World-grounded Humans and CamerasCode3
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single VideoCode3
RoMa: Robust Dense Feature MatchingCode3
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
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
COLMAP-Free 3D Gaussian SplattingCode2
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle AdjustmentCode2
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting SynthesisCode2
SiLK -- Simple Learned KeypointsCode2
HumanMM: Global Human Motion Recovery from Multi-shot VideosCode2
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMsCode2
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated VideosCode2
PVO: Panoptic Visual OdometryCode2
Reconstructing People, Places, and CamerasCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Learning to Filter Outlier Edges in Global SfMCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Towards Accurate Active Camera LocalizationCode1
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse ViewsCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Collaborative Dense SLAMCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Show:102550
← PrevPage 1 of 7Next →

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