Font Impression Estimation in the Wild

arXiv:2402.15236v1 Announce Type: new
Abstract: This paper addresses the challenging task of estimating font impressions from real font images. We use a font dataset with annotation about font impressions and a convolutional neural network (CNN) framework for this task. However, impressions attached to individual fonts are often missing and noisy because of the subjective characteristic of font impression annotation. To realize stable impression estimation even with such a dataset, we propose an exemplar-based impression estimation approach, which relies on a …

abstract annotation arxiv cnn convolutional neural network cs.cv dataset framework images impressions network neural network paper type