Update README.md

README.md

@@ -1,14 +1,21 @@
 ---
-language: en
 tags:
 - face-alignment
 - facial-landmark-detection
+license: mit
 ---
 
 # Facetorch Model
 
 This model 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
 
@@ -27,4 +34,4 @@ If you use this model in your work, please make sure to appropriately credit the
     journal = {GitHub Repository},
     howpublished = {\url{https://github.com/tomas-gajarsky/facetorch}}
 }
-```
+```