Face Inpainting via Nested Generative Adversarial Networks

Face Inpainting via Nested Generative Adversarial Networks

Face inpainting aims to repaired damaged images caused by occlusion or cover. In recent years, deep learning based approaches have shown promising results for the challenging task of image inpainting. However, there are still limitation in reconstructing reasonable structures because of over-smoothe...

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Bibliographic Details
Main Authors: Zhijiang Li, Haonan Zhu, Liqin Cao, Lei Jiao, Yanfei Zhong, Ailong Ma
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Face inpainting
deep neural network
nested GAN
Online Access:https://ieeexplore.ieee.org/document/8883161/

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