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[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
georg-bn / steer_xfeat
Forked from verlab/accelerated_featuresCombine steerers and xfeat
Minimal solvers for calibrated camera pose estimation
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
Docs and scripts to estimate a camera's rolling shutter readout time
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Continuous Sign Language Recognition with Correlation Network (CVPR 2023)
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Python-Only Calibration Tools. Perform calibration as simply as possible.
A steerer for D-dimensional keypoint descriptions is a DxD matrix that transforms the descriptions as if they were computed from a rotated image.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
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Official implementation of the paper "HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting""
A curated list of papers & resources linked to 3D reconstruction from images.
A large scale non-linear optimization library
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