Face Image Generation for Illustration by WGAN-GP Using Landmark Information
Miho Takahashi, Hiroshi Watanabe · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) · 2021
With the spread of social networking services, face images for illustration are being used in a variety of situations. Attempts have been made to create illustration face images using adversarial generation networks, but the quality of the images has not been sufficient. It would be much easier to generate face images for illustrations if they could be generated by simply specifying the shape and expression of the face. Also, if images can be generated using landmark information, which is the location of the eyes, nose, and mouth of a face, it will be possible to capture and learn the features of the face. Therefore, in this paper, we propose a method to generate face images for illustration using landmark information. Our method can learn the location of landmarks and produce high quality images on creation of illustration face images.