mlsanityData to 7 Oct 2026

CalliPaint: Chinese Calligraphy Inpainting with Diffusion Model

arXiv 2312.01536 ↗First posted 3 Dec 2023cs.CVcited by 4

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

Chinese calligraphy can be viewed as a unique form of visual art. Recent advancements in computer vision hold significant potential for the future development of generative models in the realm of Chinese calligraphy. Nevertheless, methods of Chinese calligraphy inpainting, which can be effectively used in the art and education fields, remain relatively unexplored. In this paper, we introduce a new model that harnesses recent advancements in both Chinese calligraphy generation and image inpainting. We demonstrate that our proposed model CalliPaint can produce convincing Chinese calligraphy.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 4 of its 5 references that are in the map. First posted on arXiv 3 Dec 2023.

Builds on

4 of 5 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling30 May

Other references · 3

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2020CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generatorcited by 28
  3. 2021ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approachcited by 20

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.

  1. 2024CalliffusionV2: Personalized Natural Calligraphy Generation with Flexible Multi-modal Controlcited by 3
  2. 2025UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphycited by 2
  3. 2024Machine Apophenia: The Kaleidoscopic Generation of Architectural Imagescited by 0
  4. 2026CalliMaster: Mastering Page-level Chinese Calligraphy via Layout-guided Spatial Planningcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation
  2. 2026InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimization
  3. 2024Few-shot Calligraphy Style Learning
  4. 2025CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
  5. 2024Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
  6. 2023CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
  7. 2024Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
  8. 2024Diffusion-based image inpainting with internal learning