Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts

arXiv:2402.16350v1 Announce Type: new
Abstract: Fonts convey different impressions to readers. These impressions often come from the font shapes. However, the correlation between fonts and their impression is weak and unstable because impressions are subjective. To capture such weak and unstable cross-modal correlation between font shapes and their impressions, we propose Impression-CLIP, which is a novel machine-learning model based on CLIP (Contrastive Language-Image Pre-training). By using the CLIP-based model, font image features and their impression features are pulled closer, and …

abstract arxiv clip correlation cs.cv embedding impressions modal readers type