Research and Application of Controllable AIGC Technology in Architectural Renderings Generation
Xiaohu Liu, Guo Yu-tang · 2024
With the wide application of AIGC image technology in the production of architectural renderings, how to generate more accurate and clear architectural renderings has become a research hotspot in the industry. Aiming at this problem, this paper designs a system framework for controllable AI-generated architectural renderings, which has the Features of strong scalability and smooth processing flow. This paper also proposes a three-category combination method of text-to-image prompt words to effectively design prompt words. At the same time, this paper designs and implements a three-stage AI generation algorithm for architectural renderings, conducts theoretical analysis on the complexity of the algorithm, and tests and compares the generation effects through experiments. The research results of this paper can effectively realize controllable AI-generated architectural renderings and have good application effects and promotion significance.