In this paper, we propose a face-inpainting method called Domain-Embedded Generative Adversarial Network (DE-GAN). ... A global discriminator and a patch ...

DE-GAN embeds three types of face domain knowledge (i.e., face mask, face part, and landmark image) via a hierarchical variational auto-encoder (HVAE) into a ...

Experiments on two public face datasets demonstrate that our proposed method generates higher quality inpainting results with consistent and harmonious facial ...

Feb 5, 2020 · To solve this problem, we present a domain embedded multi-model generative adversarial model for inpainting of face images with large cropped ...

A new repair method was introduced for quick response (QR) and PDF417 codes and a structural fusion attention (SFA) mechanism with a recurrent feature ...

DE-GAN is a conditional generative adversarial network designed to enhance the document quality before the recognition process. It could be used for ...

Nov 17, 2021 · Domain knowledge of face shapes and structures plays an important role in face inpainting. However, general inpainting methods focus mainly ...

Many recent researches about image inpainting have been based on GAN and showed high quality in the reconstructed image ... tributes or mixing several facial ...

To solve this problem, we present a stable variational latent generative model for large inpainting of face images. We firstly represent only face regions with ...

Firstly, a deformation network based on GAN is designed. Then we add an identical autoencoder to the generative part of this generative adversarial network. Two ...