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...

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Bibliographic Details
Main Authors: Jieying Zheng, Wanru Song, Yahong Wu, Ran Xu, Feng Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8880651/