We have specific impressions from the style of a typeface (font), suggesting that there are correlations between font shape and its impressions. Based on this hypothesis, we realize a shared latent space where a font shape image and its impression words are embedded in a cross-modal manner. This latent space is useful to understand the style-impression correlation and generate font images by specifying several impression words. Experimental results with a large style-impression dataset prove that it is possible to accurately realize the shared latent space, especially for shape-relevant impression words, and then use the space to generate font images with various impressions.

翻译：我们从字体(font) 的风格中得到了具体的印象, 这表明字体形状与其印象之间有关联。 基于这一假设, 我们发现一个共同的潜在空间, 字体形状图像及其印象单词以跨模式的方式嵌入其中。 这个潜在空间有助于理解样式- 印象相关关系, 并通过指定多个印象单词生成字体图像。 带有大型样式- 印象数据集的实验结果证明, 能够准确地实现共享的潜在空间, 特别是形状相关印象单词, 然后利用该空间生成带有不同印象的字体图像 。