GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
- Updated
Aug 3, 2025 - Python
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvideo in to side by side stereo(sbs) 3D stereo video.
[CVPR 2023] Two-view Geometry Scoring Without Correspondences
A Deep Learning Approach to Camera Pose Estimation
SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023
[ECCV 2024] SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Training patient-specific 2D/3D registration models in 5 minutes
[ICRA'20] Robust 360-8PA": Redesigning The Normalized 8-point Algorithm for 360-FoV Images
A CNN based Depth, Optical Flow, Flow Uncertainty and Camera Pose Prediction pipeline
[ICRA 2024]This is the official repo of paper "HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation"
Official PyTorch implementation of BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation (CVPR 2025). BLADE tackles close-range human mesh recovery where perspective distortion is strongest, and solves for camera pose and focal length in addition to SMPL(-X) parameters.
Series of experiments to calculate the real world coordinates of the camera using static images
Depth Estimation Using Stereo Cameras
(ICCV 2025) Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
A preprocessing pipeline for monocular videos containing human motion in static scenes
perform camera pose estimation using homography
3D reconstruction using SfM
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