CCR: Facial Image Editing with Continuity, Consistency and Reversibility
文献类型：期刊论文
| 作者 | Yang, Nan1,2,4 ; Luan, Xin1,3,4; Jia, Huidi1,3,4; Han, Zhi1,4; Li, Xiaofeng2; Tang, Yandong1,4
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| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER VISION
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| 出版日期 | 2023-11-14 |
| 页码 | 14 |
| 关键词 | Facial image editing Continuity Consistency Reversibility |
| ISSN号 | 0920-5691 |
| DOI | 10.1007/s11263-023-01938-z |
| 通讯作者 | Li, Xiaofeng(lixf@qdio.ac.cn) ; Tang, Yandong(ytang@sia.cn) |
| 英文摘要 | Three problems exist in sequential facial image editing: discontinuous editing, inconsistent editing, and irreversible editing. Discontinuous editing is that the current editing can not retain the previously edited attributes. Inconsistent editing is that swapping the attribute editing orders can not yield the same results. Irreversible editing means that operating on a facial image is irreversible, especially in sequential facial image editing. In this work, we put forward three concepts and their corresponding definitions: editing continuity, consistency, and reversibility. Note that continuity refers to the continuity of attributes, that is, attributes can be continuously edited on any face. Consistency is that not only attributes meet continuity, but also facial identity needs to be consistent. To do so, we propose a novel model to achieve the goal of editing continuity, consistency, and reversibility. Furthermore, a sufficient criterion is defined to determine whether a model is continuous, consistent, and reversible. Extensive qualitative and quantitative experimental results validate our proposed model, and show that a continuous, consistent and reversible editing model has a more flexible editing function while preserving facial identity. We believe that our proposed definitions and model will have wide and promising applications in multimedia processing. Code and data are available at https://github.com/mickoluan/CCR. |
| 资助项目 | This work This work was supported by the National Key Research and Development Program of China under Grant 2020YFB1313400, Youth Innovation Promotion Association of the Chinese Academy of Sciences under Grant Y202051 CAS Project for Young Scientists in Ba[2020YFB1313400] ; National Key Research and Development Program of China[Y202051] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[YSBR-041] ; CAS Project for Young Scientists in Basic Research[42306214] ; CAS Project for Young Scientists in Basic Research[61821005] ; CAS Project for Young Scientists in Basic Research[61991413] ; National Natural Science Foundation of China[SDBX2022026] ; Shandong Province Postdoctoral Innovative Talents Support Program[2023M733533] ; China Postdoctoral Science Foundation ; Special Research Assistant Project of the Chinese Academy of Sciences |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001100459800001 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/183972]  |
| 专题 | 中国科学院海洋研究所 |
| 通讯作者 | Li, Xiaofeng; Tang, Yandong |
| 作者单位 | 1.Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang 110169, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Nan,Luan, Xin,Jia, Huidi,et al. CCR: Facial Image Editing with Continuity, Consistency and Reversibility[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2023:14. |
| APA | Yang, Nan,Luan, Xin,Jia, Huidi,Han, Zhi,Li, Xiaofeng,&Tang, Yandong.(2023).CCR: Facial Image Editing with Continuity, Consistency and Reversibility.INTERNATIONAL JOURNAL OF COMPUTER VISION,14. |
| MLA | Yang, Nan,et al."CCR: Facial Image Editing with Continuity, Consistency and Reversibility".INTERNATIONAL JOURNAL OF COMPUTER VISION (2023):14. |
入库方式： OAI收割
来源：海洋研究所
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