SmartFont: Dynamic Condition Allocation for Few-Shot Font Generation

SmartFont is a diffusion-based framework for few-shot font generation that addresses the challenge of balancing global structural completeness with local style fidelity. It utilizes a multi-level condition allocation strategy that combines global content-style generation with weakly supervised local corrective experts, enhancing fine-grained detail without relying on explicit component-conditioned inference. The framework demonstrates improved glyph quality and local detail fidelity through adaptive weighting of global and local features, making it a significant advancement for practitioners in font generation tasks.