3 papers
cs.CV2025
DA-Font: Few-Shot Font Generation via Dual-Attention Hybrid Integration
Weiran Chen, Guiqian Zhu, Ying Li +2
Few-shot font generation aims to create new fonts with a limited number of glyph references. It can be used to significantly reduce the labor cost of manual font design. However, d…
cs.CV2025
Advancements in Chinese font generation since deep learning era: A survey
Weiran Chen, Guiqian Zhu, Ying Li +2
Chinese font generation aims to create a new Chinese font library based on some reference samples. It is a topic of great concern to many font designers and typographers. Over the…
cs.CV2024
TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling
Weiran Chen, Xin Li, Jiaqi Su +4
As a cross-modal task, visual storytelling aims to generate a story for an ordered image sequence automatically. Different from the image captioning task, visual storytelling requi…