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Computer Science > Computer Vision and Pattern Recognition

arXiv:2305.04719 (cs)
[Submitted on 8 May 2023]

Title:Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Authors:Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He
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Abstract: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.
Comments: Accepted by IJCAI 2022
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2305.04719 [cs.CV]
  (or arXiv:2305.04719v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2305.04719

Submission history

From: Zhiling Yan [view email]
[v1] Mon, 8 May 2023 14:10:10 UTC (8,409 KB)
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