zju3dv/EfficientLoFTR
Some data may be outdated — see provenance labels.
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024 observed · 2026-10-05
Health v2 · maintenance only
69/100
- Activity 95
- Release rhythm 35
- Longevity 68
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 957
- days_rel: n/a
- days_push: 35
- n_releases_24m: 0
Adoption not part of the score
1050 stars · 116 forks observed · 2026-10-05
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Efficient LoFTR is a PyTorch implementation of a semi-dense local feature matching model that matches keypoints between image pairs with sparse-like speed, published at CVPR 2024. It provides inference and training code, pretrained indoor/outdoor models, and is also available via Hugging Face Transformers.
Use cases
- match keypoints between two images
- estimate camera pose from image pairs
- feature matching for 3D reconstruction
- image registration for UAV localization
- feature matching for autonomous driving
- run semi-dense matching in real time on GPU
When to choose
- you need fast semi-dense feature matching between image pairs
- you want pretrained indoor/outdoor matching models with training code
- you need a matcher for SfM, SLAM, or visual localization pipelines
When to avoid
- you need CPU-only real-time matching
- you need a simple classical detector like SIFT/ORB without deep learning dependencies
Facets
library · maturity active
machine-learning deep-learning computer-vision image-processing computer-vision machine-learning deep-learning robotics python cross-platform feature-matching loftr cvpr-2024 pose-estimation image-registration 3d-reconstruction pytorch gpu linux
1 source
- readme: https://github.com/zju3dv/EfficientLoFTR · fetched 2026-10-05 · 5f29a59c3138
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zju3dv/EfficientLoFTR | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="zju3dv/EfficientLoFTR")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem