1ADZX

1ADZX's Stars

• cvg/LightGlue

  LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

  Language:Python3.5k49115357

• magicleap/SuperGluePretrainedNetwork

  SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

  Language:Python3.4k56141679

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.3k21147291

• Ewenwan/ORB_SLAM2_SSD_Semantic

  动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

  Language:C++1.5k3932432

• uzh-rpg/rpg_svo_pro_open

  Language:C++1.4k4265393

• zdzhaoyong/GSLAM

  A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

  Language:C++1k5940270

• cvg/glue-factory

  Training library for local feature detection and matching

  Language:Python7962175105

• zju3dv/EfficientLoFTR

  Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024

  Language:Jupyter Notebook658375548

• zju3dv/DetectorFreeSfM

  Code for "Detector-Free Structure from Motion", CVPR 2024

  Language:Python626726438

• cvg/GlueStick

  Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

  Language:Jupyter Notebook574162947

• fabio-sim/LightGlue-ONNX

  ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

  Language:Python39877135

• cvlab-epfl/disk

  Disk code release

  Language:Python325112447

• cavalli1234/AdaLAM

  AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

  Language:Python320101642

• ivalab/gf_orb_slam2

  Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

  Language:C++25412447

• cchen156/Seeing-Motion-in-the-Dark

  Seeing Motion in the Dark. ICCV19

  Language:Python241102257

• higerra/ridi_imu

  Language:C++212121467

• apple/ml-aspanformer

  Language:Python21114027

• vdvchen/SGMNet

  Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021

  Language:Python13791322

• md4all/md4all

  Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions

  Language:Python1135395

• gyhandy/Humanoid-Vision-Engine

  code for [ECCV 2022 paper] Contributions of Shape, Texture, and Color in Visual Recognition

  Language:Python1014812

• ivalab/GF_ORB_SLAM

  A good feature matching enhanced version of monocular ORB-SLAM

  Language:C++665018

• ethliup/MBA-VO

  MBA-VO: Motion Blur Aware Visual Odometry

  Language:C++53936

• zhenqifu/PUIE-Net

  Language:Python51147

• Ryan-prime/3DG-STFM

  Language:Python33233

• frickyinn/SRPose

  [ECCV 2024] SRPose: Two-view Relative Pose Estimation with Sparse Keypoints

  Language:Python18411

• DhyeyR-007/Twilight-SLAM-Navigating-Low-Light-Environments

  Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.

  Language:C++12104

• Jianxff/svo_pro_universal

  Plain cmake version for rpg_svo_pro_open (svo2.0). No ros.

  Language:C++10311

• mzahana/jetson_svo_docker

  A Docker image for the SVO Pro (visual inertial odomotery/SLAM) package, for Nvidia Jetson boards.

  Language:CMake8231

• smilefacehh/SVO-Note

  SVO源码注释，半直接法VO

  Language:C++5103

• TwilightSLAM/Twilight_SuperPoint_SLAM

  Language:Python3102