In order to detect the pupil shape artifacts as shown in the figure below and determine the face generated by the GAN, the method first automatically extracts the pupil masks of both eyes and evaluates whether they are elliptical or not.įor this purpose, the pupil cropping method is included as a method, but I will omit most of the methods this time. To overcome these limitations and explore a more robust model, we propose a new physical method based on pupil shape. However, the proposed method cannot be used in this way under a strict portrait setting where the light source and reflector are visible to both eyes and the eyes are far from the light source and reflector. As an example, it has been proposed to use the discrepancy of corneal specular highlights between two generated eyes. Improvements have been made, for example, by identifying deficiencies in the GAN generative model in representing the interaction between human faces and the physical world and detecting the products. However, these approaches suffer from two serious challenges: lack of interpretability and low generalization among different generation methods due to the overfitting problem. Therefore, with the development of GANs, approaches to detect generated face images using Deep Learning models have been developed. In the midst of these technological developments, there are some bad sides, such as the appearance of fake social media accounts that use the generated faces as profile images. We all know that with the development of GAN, it has become possible to generate face images that are indistinguishable from each other. The images used in this article are from the paper or created based on it. Subjects: Computer Vision and Pattern Recognition (cs.CV)

Written by Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu ✔️ It is a good cue for humans to visually identify GAN-generated faces.Įyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces ✔️ We propose a simple and effective method that can detect GAN-generated faces using irregular pupil shapes as cues ✔️ High-quality StyleGAN-generated faces are found to be different from real human pupils

Irregular pupil shape