Reference-guided Face Component Editing | |
Deng, Qiyao1,2![]() ![]() ![]() ![]() ![]() | |
2020 | |
会议名称 | International Joint Conference on Artificial Intelligence |
会议日期 | 2021年1月7日 – 2021年1月15日 |
会议地点 | 日本横滨 |
摘要 | Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controlling shapes of high-level semantic facial components (e.g., eyes, nose, mouth), or 2) take manually edited mask or sketch as an intermediate representation for observable changes, but such additional input usually requires extra efforts to obtain. To break the limitations (e.g. shape, mask or sketch) of the existing methods, we propose a novel framework termed r-FACE (Reference-guided FAce Component Editing) for diverse and controllable face component editing with geometric changes. Specifically, r-FACE takes an image inpainting model as the backbone, utilizing reference images as conditions for controlling the shape of face components. In order to encourage the framework to concentrate on the target face components, an example-guided attention module is designed to fuse attention features and the target face component features extracted from the reference image. Through extensive experimental validation and comparisons, we verify the effectiveness of the proposed framework. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44727 |
专题 | 模式识别实验室 |
通讯作者 | Li, Qi |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 3.美团AI平台 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Deng, Qiyao,Cao, Jie,Liu, Yunfan,et al. Reference-guided Face Component Editing[C],2020. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Reference Guided Fac(12120KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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