论文标题
地标：从地标合成面孔
LandmarkGAN: Synthesizing Faces from Landmarks
论文作者
论文摘要
脸部合成是计算机视觉中的重要问题，具有许多应用。在这项工作中，我们描述了一种新方法，即Landmarkgan，以基于面部地标作为输入来合成面孔。面部地标是面部表情和方向的自然，直观且有效的代表，它们独立于目标的纹理或颜色和背景场景。我们的方法能够将一组面部地标转换为不同受试者的新面孔，而保持相同的面部表情和方向。面部合成和重演的实验结果证明了我们方法的有效性。
Face synthesis is an important problem in computer vision with many applications. In this work, we describe a new method, namely LandmarkGAN, to synthesize faces based on facial landmarks as input. Facial landmarks are a natural, intuitive, and effective representation for facial expressions and orientations, which are independent from the target's texture or color and background scene. Our method is able to transform a set of facial landmarks into new faces of different subjects, while retains the same facial expression and orientation. Experimental results on face synthesis and reenactments demonstrate the effectiveness of our method.
