# Local feature matching

> AI-ranked search results for `local feature matching` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 117 total matches; showing the top 11.

Explore on the web: https://awesome-repositories.com/q/local-feature-matching

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## Results

- [magicleap/supergluepretrainednetwork](https://awesome-repositories.com/repository/magicleap-supergluepretrainednetwork.md) (4,035 ⭐) — This project is a collection of neural network models and geometric tools designed for image feature matching, spatial alignment, and visual localization. It provides a pre-trained neural network model for identifying high-accuracy correspondences between sparse image features without requiring local training.

The system utilizes a graph neural network matcher that employs attention mechanisms and message passing to learn spatial relationships between image feature points. It integrates a RANSAC camera pose estimator to filter feature matches and calculate the relative spatial transformation
- [cvg/lightglue](https://awesome-repositories.com/repository/cvg-lightglue.md) (4,625 ⭐) — LightGlue is a deep learning framework designed for local feature matching and high-speed correspondence estimation between pairs of images. It functions as a computer vision matching model that identifies corresponding keypoints across different viewpoints.

The system utilizes an adaptive neural network architecture that dynamically optimizes inference speed by pruning its own depth and width based on the input image pairs. This approach employs a transformer-style attention mechanism and cross-image attention to compute correlations between feature descriptors.

The matching process include
- [kornia/kornia](https://awesome-repositories.com/repository/kornia-kornia.md) (11,238 ⭐) — Kornia is a differentiable computer vision library and cross-framework tensor vision toolset. It implements vision operations as differentiable tensors to enable integration into deep learning pipelines and supports the transpilation of operations across PyTorch, TensorFlow, JAX, and NumPy.

The project provides specialized toolsets for geometric vision and stereo depth, including algorithms for 3D scene reconstruction, camera calibration, and pose estimation. It further distinguishes itself as a differentiable image augmentation framework, applying random geometric and color transformations w
- [hanxf/matchnet](https://awesome-repositories.com/repository/hanxf-matchnet.md) (194 ⭐) — Matchnet is a deep learning approach for patch-based local image matching, which jointly learns feature representation and matching function from data. More details about this approach can be found in our CVPR'15 paper.
- [gtolias/how](https://awesome-repositories.com/repository/gtolias-how.md) (95 ⭐) — This is the official Python/PyTorch implementation of the HOW local descriptors from our ECCV 2020 paper:
- [cvlab-epfl/disk](https://awesome-repositories.com/repository/cvlab-epfl-disk.md) (387 ⭐) — Official code release for DISK: learning local features with policy gradient. If you use this code in your work, please cite us as ``latex @article{tyszkiewicz2020disk, title={DISK: Learning local features with policy gradient}, author={Tyszkiewicz, Micha{\l} and Fua, Pascal and Trulls, Eduard},…
- [dagnyt/hardnet](https://awesome-repositories.com/repository/dagnyt-hardnet.md) (528 ⭐)
- [facebookresearch/silk](https://awesome-repositories.com/repository/facebookresearch-silk.md) (680 ⭐) — SiLK is a self-supervised framework for learning keypoints. SiLK focuses on simplicity and flexibility, while also providing state-of-art and competitive results on existing benchmarks.
- [cvg/glue-factory](https://awesome-repositories.com/repository/cvg-glue-factory.md) (1,152 ⭐) — Glue Factory is CVG's library for training and evaluating deep neural network that extract and match local visual feature. It enables you to: - Reproduce the training of state-of-the-art models for point and line matching, like LightGlue and GlueStick (ICCV 2023) - Train these models on multiple…
- [axelbarroso/key.net](https://awesome-repositories.com/repository/axelbarroso-key-net.md) (211 ⭐) — Code for the ICCV19 paper:
- [vlfeat/vlfeat](https://awesome-repositories.com/repository/vlfeat-vlfeat.md) (1,652 ⭐) — An open library of computer vision algorithms