Abstract: With the arrival of the synthetic talent era, laptop technological know-how for the safety and inheritance of intangible cultural heritage has added a new way of thinking, and the range of intangible cultural heritage additionally offers greater chances for laptop technology, the utility of laptop talent science to New Year's Eve artwork of the applicable lookup there are many gaps. Training of Cyclic Generative Adversarial Network (CycleGAN) realize the task of extracting plots of different site types from planar maps and the Rendering generation from planar color block map to color texture map. This paper first introduces the B/S community architecture, Python programming technological know-how and Django framework. Then the unique approach of using pc Genius to the project of rendering Chinese New Year artwork is clarified via modeling, studying algorithms, and community architecture. Finally, a hierarchical fusion generative adversarial neural community structure is designed primarily based on generative adversarial neural networks. The structural and textural features of the image are fused by texture GAN and then rendered to generate the New Year paintings. The test results show that this kind of algorithm draws clear texture, realistic images and full color of the New Year's pictures, and the IS index reaches 3.16 in the quantitative analysis, which is higher than other comparison algorithms.

Zaozao Guo, “Design and Development of an Intelligent Rendering System for New Year's Paintings Color Based on B/S Architecture” International Journal of Advanced Computer Science and Applications(IJACSA), 14(9), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140989

@article{Guo2023,
title = {Design and Development of an Intelligent Rendering System for New Year's Paintings Color Based on B/S Architecture},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140989},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140989},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Zaozao Guo}
}