InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing

InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing

Existing image-to-image translation methods usually incorporate encoder-decoder and generative adversarial networks to generate images. The encoder compresses an entire image into a static representation using a sequence of convolution layers until a bottleneck, and then, the intermediate features a...

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Bibliographic Details
Main Authors: Chen Ding, Wei Kang, Jiaqi Zhu, Shuangyan Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Facial arrtibute transfer
GAN
image-to-image translation
Online Access:https://ieeexplore.ieee.org/document/9119402/

Internet

https://ieeexplore.ieee.org/document/9119402/

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