DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN

doi:10.1109/TVCG.2022.3178734

	DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN
	Su, Wanchao 1; Ye, Hui 1; Chen, Shu-Yu 2; Gao, Lin 3,4; Fu, Hongbo 1
	2023-10-01
发表期刊	IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
ISSN	1077-2626
卷号	29 期号:10 页码:4074-4088
摘要	The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-the-art generation ability but the original StyleGAN is not friendly for sketch-based creation due to its unconditional generation nature. To address this issue, we propose a direct conditioning strategy to better preserve the spatial information under the StyleGAN framework. Specifically, we introduce Spatially Conditioned StyleGAN (SC-StyleGAN for short), which explicitly injects spatial constraints to the original StyleGAN generation process. We explore two input modalities, sketches and semantic maps, which together allow users to express desired generation results more precisely and easily. Based on SC-StyleGAN, we present DrawingInStyles, a novel drawing interface for non-professional users to easily produce high-quality, photo-realistic face images with precise control, either from scratch or editing existing ones. Qualitative and quantitative evaluations show the superior generation ability of our method to existing and alternative solutions. The usability and expressiveness of our system are confirmed by a user study.
关键词	Faces Semantics Image synthesis Codes Training Transforms Spatial resolution Sketch-based portrait generation suggestive interfaces data-driven approaches StyleGAN conditional generation
DOI	10.1109/TVCG.2022.3178734
收录类别	SCI
语种	英语
资助项目	Research Grants Council of the Hong Kong Special Administrative Region,China[CityU 11212119] ; Centre for Applied Computing and Interactive Media (ACIM) of School of Creative Media, CityUniversity of Hong Kong ; National Natural Science Foundation of China[62102403] ; Beijing Municipal Natural Science Foundation for Distinguished Young Scholars[JQ21013] ; Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:001060356200004
出版者	IEEE COMPUTER SOC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21172
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Fu, Hongbo
作者单位	1.City Univ Hong Kong, Sch Creat Media, Kowloon Tong, Hong Kong, Peoples R China 2.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100045, Peoples R China 3.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100045, Peoples R China 4.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Su, Wanchao,Ye, Hui,Chen, Shu-Yu,et al. DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2023,29(10):4074-4088.
APA	Su, Wanchao,Ye, Hui,Chen, Shu-Yu,Gao, Lin,&Fu, Hongbo.(2023).DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,29(10),4074-4088.
MLA	Su, Wanchao,et al."DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 29.10(2023):4074-4088.