تقرير
Learning to Generate Poetic Chinese Landscape Painting with Calligraphy
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 |
الوصف غير متاح. |