Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156775
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dc.contributor.authorZhang, Xijueen_US
dc.date.accessioned2022-04-23T12:32:39Z-
dc.date.available2022-04-23T12:32:39Z-
dc.date.issued2022-
dc.identifier.citationZhang, X. (2022). Towards superior control in automatic face editing with generative adversarial networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156775en_US
dc.identifier.urihttps://hdl.handle.net/10356/156775-
dc.description.abstractGenerative Adversarial Networks (GANs) have been widely used in image manipulation tasks such as local editing and image interpolation. This project examines StyleMapGAN, a novel approach that evolves from StyleGAN by replacing AdaIN with intermediate latent space carrying information on spatial dimensions, hence capable of performing high-quality local editing. In addition, by introducing a BiSeNet-based face parsing model, this project develops a fully automated process in local editing of human faces that only takes a few seconds. This project demonstrates that the face parsing model outputs masks that rivals manually labelled face datasets. Furthermore, this project explores more controls in local editing by introducing a pair of unaligned masks during stylemap mixing in W+ space in the generator. Local editing with interpolation is achieved and a demo application is developed to demonstrate the local editing process.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleTowards superior control in automatic face editing with generative adversarial networksen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Change Loyen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailccloy@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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