From 543ac3daabac7a8a1e95ed297c38ab872102ddc3 Mon Sep 17 00:00:00 2001 From: Jiaolong Yang Date: Thu, 8 Aug 2019 19:09:54 +0800 Subject: [PATCH] Update readme.md --- readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/readme.md b/readme.md index 1991b00..6adb103 100644 --- a/readme.md +++ b/readme.md @@ -7,7 +7,7 @@ This is a python implementation of the following paper: -Y. Deng, J. Yang, S. Xu, D. Chen, Y. Jia, and X. Tong. [Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set](https://arxiv.org/abs/1903.08527). IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) on Analysis and Modeling of Faces and Gestures (AMFG), 2019. (__Best Paper Award!__) +Y. Deng, J. Yang, S. Xu, D. Chen, Y. Jia, and X. Tong, [Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set](https://arxiv.org/abs/1903.08527), IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) on Analysis and Modeling of Faces and Gestures (AMFG), 2019. (__Best Paper Award!__) The method enforces a hybrid-level weakly-supervised training to for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and occlussions. It achieves state-of-the-art performance on multiple datasets such as FaceWarehouse, MICC Florence and BU-3DFE.