Abstract
This paper presents an innovative approach that enables the user to find matching faces based on the user-selected face parameters. Through gradio-based user interface, the users can interactively select the face parameters they want in their desired partner. These user-selected face parameters are transformed into a text prompt which is used by the Text-To-Image generation model to generate a realistic face image. Further, the generated image along with the images downloaded from the this http URL are processed through face detection and feature extraction model, which results in high dimensional vector embedding of 512 dimensions. The vector embeddings generated from the downloaded images are stored into vector database. Now, the similarity search is carried out between the vector embedding of generated image and the stored vector embeddings. As a result, it displays the top five similar faces based on the user-selected face parameters. This contribution holds a significant potential to turn into a high-quality personalized face matching tool.
Abstract (translated)
这篇论文提出了一种创新的方法，允许用户根据自选的面部参数找到匹配的脸庞。通过基于Gradio的用户界面，用户可以互动地选择他们希望在理想伴侣身上看到的面部特征。这些由用户选定的面部参数会被转换成文本提示，并用于文本到图像生成模型来生成逼真的面部图像。接着，生成的图像以及从网站下载的其他图像会经过面部检测和特征提取模型处理，从而产生一个512维的高度抽象向量表示。 从下载图片中得到的向量表示被存储在向量数据库里。接下来，在生成图像的向量表示与已存储的向量表示之间进行相似性搜索。最终结果是基于用户选择的面部参数，展示出五张最匹配的脸庞。这一贡献具有很大的潜力，可以转化为一种高质量的个性化面部匹配工具。
URL
https://arxiv.org/abs/2503.03204
