Papers with Code 아카이브
Camera Pose Estimation
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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.
논문
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SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
SpatialTrackerV2: 3D Point Tracking Made Easy
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
Princeton365: A Diverse Dataset with Accurate Camera Pose
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph
Large-scale visual SLAM for in-the-wild videos
SmallGS: Gaussian Splatting-based Camera Pose Estimation for Small-Baseline Videos
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction
Regist3R: Incremental Registration with Stereo Foundation Model
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image
VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion
HumanMM: Global Human Motion Recovery from Multi-shot Videos
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes
FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.