arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.01576cs.CV
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Open-Edit:开放词汇指令的开放域图像处理

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

The Chinese University of Hong Kong(香港中文大学);Adobe Research(Adobe研究院)

Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li

摘要:

我们提出了一种新的算法,命名为Open-Edit,这是第一次尝试开放领域的图像操作与开放词汇指令。考虑到图像域的大变化和缺乏训练监督,这是一项具有挑战性的任务。我们的方法利用了在一般图像标题数据集上预训练的统一视觉语义嵌入空间,并通过在图像特征映射上应用文本引导向量算法来操纵嵌入的视觉特征。然后,结构保留图像解码器从经操纵的特征图生成经操纵的图像。我们进一步提出了一种具有周期一致性约束的动态样本特定优化方法,以正则化操纵图像并迫使它们保留源图像的细节。我们的方法显示出有前途的结果在操纵开放词汇的颜色,纹理和高层次的属性为各种场景的开放域图像。

英文摘要:

We propose a novel algorithm, named Open-Edit, which is the first attempt on open-domain image manipulation with open-vocabulary instructions. It is a challenging task considering the large variation of image domains and the lack of training supervision. Our approach takes advantage of the unified visual-semantic embedding space pretrained on a general image-caption dataset, and manipulates the embedded visual features by applying text-guided vector arithmetic on the image feature maps. A structure-preserving image decoder then generates the manipulated images from the manipulated feature maps. We further propose an on-the-fly sample-specific optimization approach with cycle-consistency constraints to regularize the manipulated images and force them to preserve details of the source images. Our approach shows promising results in manipulating open-vocabulary color, texture, and high-level attributes for various scenarios of open-domain images.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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