Update README.md

README.md

@@ -8,7 +8,7 @@ language:
 # MP_Blendshapes
 
 ## Model Description
-MP_Blendshapes has been ported to pytorch from Google's [mediapipe](https://github.com/google-ai-edge/mediapipe) library using Liam Schoneveld's github [repository](https://github.com/nlml/deconstruct-mediapipe). The inputs are 146/473 of mediapipe's FaceMeshV2 high density landmark model. The 52 blendshapes are similar to [ARKit Fafce Blendshapes](https://arkit-face-blendshapes.com/) and loosely correspond to Facial Action Unit Coding System.
+MP_Blendshapes has been ported to pytorch from Google's [mediapipe](https://github.com/google-ai-edge/mediapipe) library using Liam Schoneveld's github [repository](https://github.com/nlml/deconstruct-mediapipe). The inputs are 146/473 of mediapipe's FaceMeshV2 high density landmark model. The 52 blendshapes are similar to [ARKit Face Blendshapes](https://arkit-face-blendshapes.com/) and loosely correspond to Facial Action Unit Coding System.
 
 See the mediapipe [model card](https://storage.googleapis.com/mediapipe-assets/Model%20Card%20Blendshape%20V2.pdf) for more details.
 
@@ -18,7 +18,8 @@ See the mediapipe [model card](https://storage.googleapis.com/mediapipe-assets/M
 
 ## Model Sources
 - **Repository**: [GitHub Repository](https://github.com/cosanlab/py-feat)
-- **Paper**: [Mediapipe blendshape model card](https://storage.googleapis.com/mediapipe-assets/Model%20Card%20Blendshape%20V2.pdf)
+- **Model Card**: [Mediapipe blendshape model card](https://storage.googleapis.com/mediapipe-assets/Model%20Card%20Blendshape%20V2.pdf)
+- **Paper**: [Attention mesh: High-fidelity face mesh prediction in real-time](https://arxiv.org/abs/2006.10962)
 
 ## Citation
 If you use the mp_blendshapes model in your research or application, please cite the following paper: