---
license: mit
tags:
  - kornia
  - feature-matching
---

# kornia/loftr

Pretrained weights for **LoFTR** (Detector-Free Local Feature Matching with Transformers),
used by [`kornia.feature.LoFTR`](https://kornia.readthedocs.io/en/latest/feature.html).

LoFTR builds dense coarse-to-fine correspondences directly from feature maps using
linear attention, without any keypoint detection step. Trained on outdoor (MegaDepth)
and indoor (ScanNet) datasets. CVPR 2021.

**Original repo:** [zju3dv/LoFTR](https://github.com/zju3dv/LoFTR)

## Weights

| File | Scene type |
|------|-----------|
| `loftr_outdoor.ckpt` | Outdoor (MegaDepth) |
| `loftr_indoor_ds_new.ckpt` | Indoor (ScanNet, updated) |
| `loftr_indoor.ckpt` | Indoor (ScanNet) |

## Citation

```bibtex
@inproceedings{LoFTR2021,
    title     = {{LoFTR}: Detector-Free Local Feature Matching with Transformers},
    author    = {Sun, Jiaming and Shen, Zehong and Wang, Yuang
                 and Bao, Hujun and Zhou, Xiaowei},
    booktitle = {CVPR},
    year      = {2021}
}
```