/EXE-GAN

Facial image inpainting is a task of filling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. This paper presents EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image wi

MIT LicenseMIT

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars (EXE-GAN)

Official PyTorch implementation of EXE-GAN (Coming soon). [Homepage]

We present EXE-GAN, a novel exemplar-guided facial inpainting framework using generative adversarial networks. Our approach can not only preserve the quality of the input facial image but also complete the image with exemplar-like facial attributes.