Update README

README.md

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+---
+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}
+}
+```