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 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
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
LightGlue: Local Feature Matching at Light SpeedCode4
GIM: Learning Generalizable Image Matcher From Internet VideosCode4
SpatialTrackerV2: 3D Point Tracking Made EasyCode4
One Diffusion to Generate Them AllCode4
Cameras as Rays: Pose Estimation via Ray DiffusionCode4
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMCode4
RoMa: Robust Dense Feature MatchingCode3
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAMCode3
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single VideoCode3
WHAC: World-grounded Humans and CamerasCode3
GLACE: Global Local Accelerated Coordinate EncodingCode2
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle AdjustmentCode2
COLMAP-Free 3D Gaussian SplattingCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting SynthesisCode2
ViewFormer: NeRF-free Neural Rendering from Few Images Using TransformersCode2
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car ReconstructionCode2
HumanMM: Global Human Motion Recovery from Multi-shot VideosCode2
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMsCode2
SiLK -- Simple Learned KeypointsCode2
PVO: Panoptic Visual OdometryCode2
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated VideosCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose InitializationCode2
Reconstructing People, Places, and CamerasCode2
Enhancing Soccer Camera Calibration Through Keypoint ExploitationCode2
Few-View Object Reconstruction with Unknown Categories and Camera PosesCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
Extreme Two-View Geometry From Object Poses with Diffusion ModelsCode1
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
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Event-based Stereo Visual OdometryCode1
Activating Self-Attention for Multi-Scene Absolute Pose RegressionCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
Learning to Filter Outlier Edges in Global SfMCode1
Collaborative Dense SLAMCode1
Progressive Correspondence Pruning by Consensus LearningCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
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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