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CONTROLLABLE MANIPULATIONS OF FACIAL IMAGES

LI JING
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Abstract
This thesis targets with controllable manipulations of facial images. Specifically, it first proposes a method for synthesis of facial images with virtual identity to protect the face template of users in face verification systems. It then addresses the simultaneous manipulations of pose and illumination for facial images. Particularly, it proposes a multi-attribute facial image generator that is can be learned from disjoint partially-attributed datasets.
Keywords
face synthesis, facial attribute manipulation, template protection, face generator, partially-attributed face datasets
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COMPUTER SCIENCE
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Date
2019-01-24
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Type
Thesis
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