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InkDiffuser generates high-fidelity Chinese calligraphy with new diffusion model

Researchers have developed InkDiffuser, a new diffusion-based framework for generating high-fidelity Chinese calligraphy from a single reference glyph. The system incorporates a high-frequency enhancement mechanism and a Differentiable Ink Structure (DIS) loss to improve stroke rendering and ink morphology. Experiments show InkDiffuser outperforms existing methods in structural consistency and visual authenticity. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Introduces a novel method for high-fidelity generative art, potentially influencing creative AI applications.

RANK_REASON This is a research paper detailing a new generative framework for Chinese calligraphy. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

COVERAGE [1]

  1. arXiv cs.CV TIER_1 · Kunchong Shi, Jing Zhang ·

    InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimization

    arXiv:2605.05865v1 Announce Type: new Abstract: Current Chinese calligraphy generation methods suffer from poor stroke rendering and unrealistic ink morphology, resulting in outputs with limited visual fidelity and artistic fluidity. To address this problem, we propose \textbf{In…