A Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation

A style-based architecture (StyleGAN2) yields outstanding results in data-driven unconditional generative image modeling. This work proposes a Domain-guided Noise-optimization-based Inversion (DNI) method to perform facial image manipulation. It works based on an inverse code that includes: 1) a nov...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 30; pp. 6198 - 6211
Main Authors:	Yang, Nan, Zheng, Zeyu, Zhou, Mengchu, Guo, Xiwang, Qi, Liang, Wang, Tianran
Format:	Journal Article
Language:	English
Published:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Aerospace electronics Alignment Coders Computer vision Deep learning domain-guided encoder Domains Generative adversarial networks Generators Image manipulation Image processing Image quality Image reconstruction Noise noise optimization Optimization Semantics Training
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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