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Towards Controllable and Photorealistic Region-wise Image Manipulation
2021-10-17
会议录名称MM 2021 - PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA
页码535-543
DOI10.1145/3474085.3475206
摘要Adaptive and flexible image editing is a desirable function of modern generative models. In this work, we present a generative model with auto-encoder architecture for per-region style manipulation. We apply a code consistency loss to enforce an explicit disentanglement between content and style latent representations, making the content and style of generated samples consistent with their corresponding content and style references. The model is also constrained by a content alignment loss to ensure the foreground editing will not interfere background contents. As a result, given interested region masks provided by users, our model supports foreground region-wise style transfer. Specially, our model receives no extra annotations such as semantic labels except for self-supervision. Extensive experiments show the effectiveness of the proposed method and exhibit the flexibility of the proposed model for various applications, including region-wise style editing, latent space interpolation, cross-domain style transfer. © 2021 ACM.
会议录编者/会议主办者ACM SIGMM
关键词Codes (symbols) Auto encoders Code consistency Content alignment Controllable and photorealistic Encoder architecture Generative model Image editing Image manipulation Interested regions Photo realistic
会议名称29th ACM International Conference on Multimedia, MM 2021
会议地点Virtual, Online, China
会议日期October 20, 2021 - October 24, 2021
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收录类别EI
语种英语
出版者Association for Computing Machinery, Inc
EI入藏号20214711200255
EI主题词Semantics
EI分类号723.2 Data Processing and Image Processing
原始文献类型Conference article (CA)
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/133549
专题信息科学与技术学院_本科生
信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_许岚组
通讯作者Zhou, Chenglin
作者单位
1.Peking University, Beijing, China;
2.ShanghaiTech University, Shanghai, China
通讯作者单位上海科技大学
推荐引用方式
GB/T 7714
You, Ansheng,Zhou, Chenglin,Zhang, Qixuan,et al. Towards Controllable and Photorealistic Region-wise Image Manipulation[C]//ACM SIGMM:Association for Computing Machinery, Inc,2021:535-543.
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