Feature Encoder Guided Generative Adversarial Network for Face Photo-Sketch Synthesis
Face photo-sketch synthesis often suffers from many problems, such as low clarity, facial distortion, contents loss, texture missing and color inconsistency in the synthesized images. To alleviate these problems, we propose a feature Encoder Guided Generative Adversarial Network (EGGAN) for face pho...
Main Authors: | Jieying Zheng, Wanru Song, Yahong Wu, Ran Xu, Feng Liu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8880651/ |
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