Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

التفاصيل البيبلوغرافية
العنوان: Learning to Generate Poetic Chinese Landscape Painting with Calligraphy
المؤلفون: Yuan, Shaozu, Dai, Aijun, Yan, Zhiling, Liu, Ruixue, Chen, Meng, Chen, Baoyang, Qiu, Zhijie, He, Xiaodong
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: 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.
Comment: Accepted by IJCAI 2022
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2305.04719
رقم الأكسشن: edsarx.2305.04719
قاعدة البيانات: arXiv