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Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

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arxiv 2305.04719 v1 pith:TO47LR2J submitted 2023-05-08 cs.CV

Shaozu Yuan , Aijun Dai , Zhiling Yan , Ruixue Liu , Meng Chen , Baoyang Chen , Zhijie Qiu , Xiaodong He This is my paper · ORCID
classification cs.CV
keywords paintinglandscapecalligraphygenerateimagemoduleartworkchinese
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In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy. Unlike previous single image-to-image painting generation, Polaca takes the classic poetry as input and outputs the artistic landscape painting image with the corresponding calligraphy. It is equipped with three different modules to complete the whole piece of landscape painting artwork: the first one is a text-to-image module to generate landscape painting image, the second one is an image-to-image module to generate stylistic calligraphy image, and the third one is an image fusion module to fuse the two images into a whole piece of aesthetic artwork.

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  1. PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement

    cs.CV 2025-07 conditional novelty 6.0 of 10

    PoemTale Diffusion generates a coherent set of images from a poem by combining emotion-based segmentation, multi-stage LLM prompt refinement, and consistent self-attention, outperforming direct poem-to-image approache...

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