建筑中的神经网络:从构思到实施

N. Beiner, P. Beiner, M.V. Kulik, D.S. Ivanenko
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引用次数: 0

摘要

问题陈述。在现代设计过程中,越来越多地利用先进技术来创建复杂而创新的建筑项目。神经网络在建筑领域自动图像生成方法的开发中发挥着至关重要的作用,它考虑到了各种风格、形式和纹理。然而,尽管这些技术发展迅速,但仍有一些重大问题阻碍着它们与建筑实践的全面融合。利用神经网络生成精美的概念图像还远未实现。这些图像可能具有启发性,但并不涉及技术层面,如开发三维模型、准备图纸和进行成功实施项目所需的计算。在美学和功能性之间取得平衡是成功实现建筑项目的关键因素。本文旨在研究使用 MidJourney 和类似平台生成建筑图像概念的相关问题。主要重点是分析为什么生成概念图只是建筑设计的第一步。还需要其他阶段,如开发三维模型、准备图纸和进行计算。这将把图像中的想法转化为有形的三维物体,同时考虑到技术方面和工程系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NEURAL NETWORKS IN ARCHITECTURE: FROM IDEA TO IMPLEMENTATION
Problem Statement. In the modern design process, advanced technologies are increasingly being utilized to create complex and innovative architectural projects. Neural networks play a crucial role in the development of automated image generation methods in the architectural field, considering various styles, forms, and textures. However, despite the rapid advancement of these technologies, there are significant issues hindering their full integration into architectural practice. Generating beautiful concept images using neural networks remains far from realization. These images may be inspirational but do not address technical aspects such as developing 3D models, preparing drawings, and performing calculations necessary for the successful implementation of projects. Striking a balance between aesthetics and functionality is a key factor for the successful realization of construction projects. The aim of the article is to examine the issues related to image concept generation in architecture using MidJourney and similar platforms. The primary focus is on analyzing why generating concept images is only the initial step in architectural design. Additional stages are required, such as developing 3D models, preparing drawings, and performing calculations. This will transform the ideas presented in images into tangible three-dimensional objects, considering technical aspects and engineering systems.
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