Abstract: Highlights•Comprehensive examination of CFG methods based on deep learning.•Systematic review of 106 articles published between 2017 and 2025.•Summarizes the problem definition and main challenges in Chinese font generation.•Organizes datasets and evaluation metrics for font generation.•Classifies cutting-edge methods from three perspectives.
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