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Text2Sketch: Learning Face Sketch from Facial Attribute Text

机译:Text2Sketch:从面部属性文本学习面部素描

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Face sketch is the main approach to find suspect in law enforcement, especially in many cases when facial attribute descriptions of suspects by witnesses are available. Face sketch synthesized from facial attribute text can also be used in sketch based face recognition. While most previous work focus on face photo to sketch synthesis, the problem of sketch synthesis with facial attribute text has not been explored yet. The problem is challenging due to two facts: firstly, no database of face attribute text to sketch is available; secondly, it is hard to synthesize high-quality face sketches due to the ambiguity and complexity of text description. In this paper, we propose a face sketch synthesis approach with text using Stagewise-GAN. Our contributions lie in two aspects: 1) we construct the first text to face sketch database. The database, namely Text2Sketch dataset, is annotated with CUFSF dataset of 1194 sketches. For each sketch, an attribute description is labelled; 2) we synthesize vivid face sketches using Stagewise-GAN. We use user study, face retrieval performance with synthesized sketch, and quantitative results for evaluation. Experimental results show the effectiveness of our approach.
机译:脸部素描是在执法部门中寻找嫌疑人的主要方法,尤其是在有证人可以提供嫌疑人的面部特征描述的许多情况下。从面部属性文本合成的面部草图也可以用于基于草图的面部识别。尽管大多数以前的工作都集中在面部照片上以进行草图合成,但是尚未探索具有面部属性文本的草图合成问题。由于两个事实,该问题具有挑战性:首先,没有可用于绘制草图的面部属性文本数据库;其次,由于文本描述的含糊性和复杂性,难以合成高质量的面部素描。在本文中,我们提出了一种使用Stagewise-GAN的文本人脸素描合成方法。我们的贡献包括两个方面:1)我们构建了第一个面对面的草图数据库。该数据库(即Text2Sketch数据集)由1194个草图的CUFSF数据集注释。对于每个草图,都标记了一个属性描述。 2)我们使用Stagewise-GAN合成生动的面部素描。我们使用用户研究,具有合成草图的面部检索性能以及定量结果进行评估。实验结果表明了该方法的有效性。

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