Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: mit
----
+---
+tags:
+- face-alignment
+- facial-landmark-detection
+license: mit
+---
+
+# Facetorch Meta File
+
+This meta file is part of the [Facetorch](https://github.com/tomas-gajarsky/facetorch) library, a Python toolkit for facial detection and analysis using PyTorch.
+
+Source:
+* code: [SynergyNet](https://github.com/choyingw/SynergyNet)
+* challenge: [Wu et al. - Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry](https://arxiv.org/abs/2110.09772)
+* [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/synergy-between-3dmm-and-3d-landmarks-for/face-alignment-on-aflw)](https://paperswithcode.com/sota/face-alignment-on-aflw?p=synergy-between-3dmm-and-3d-landmarks-for)
+* [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/synergy-between-3dmm-and-3d-landmarks-for/head-pose-estimation-on-aflw2000)](https://paperswithcode.com/sota/head-pose-estimation-on-aflw2000?p=synergy-between-3dmm-and-3d-landmarks-for)
+* [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/synergy-between-3dmm-and-3d-landmarks-for/face-alignment-on-aflw2000-3d)](https://paperswithcode.com/sota/face-alignment-on-aflw2000-3d?p=synergy-between-3dmm-and-3d-landmarks-for)
+
+
+## Usage
+
+This meta file is designed to be used with the Facetorch library. For usage instructions, please refer to the [Facetorch documentation](https://tomas-gajarsky.github.io/facetorch/facetorch/index.html).
+
+## Citation
+
+If you use this meta file in your work, please make sure to appropriately credit the original authors. You may also consider citing the Facetorch library itself:
+
+```
+@misc{facetorch,
+    author = {Gajarsky, Tomas},
+    title = {Facetorch: A Python Library for Analyzing Faces Using PyTorch},
+    year = {2024},
+    publisher = {GitHub},
+    journal = {GitHub Repository},
+    howpublished = {\url{https://github.com/tomas-gajarsky/facetorch}}
+}
+```