CoDeFont: One-Shot Font Generation via Multi-Scale Factor-Specific Representation Learning

CoDeFont is a new one-shot font generation framework that learns to synthesize target glyphs by transferring style from a single reference glyph while preserving the target’s structure. It achieves this through multi-level style‑content factorization and progressive style‑content reconciliation, creating factor‑specific representations and using a contrastive objective to separate style and content embeddings. The method is evaluated on Bengali and Latin scripts, showing consistent improvements over existing state‑of‑the‑art approaches for both seen and unseen font styles.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

• rag
• benchmarks