Research and Application of Controllable AIGC Technology in Architectural Renderings Generation

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.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1145/3703187.3703241
Primary Topic
Advanced Vision and Imaging
Type
article
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article

Research and Application of Controllable AIGC Technology in Architectural Renderings Generation

Xiaohu Liu, Guo Yu-tang
Advanced Vision and Imaging
article

Research and Application of Controllable AIGC Technology in Architectural Renderings Generation

Xiaohu Liu, Guo Yu-tang
article en

Abstract

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.

Anhui Business College (CN)
Openalex Percentile: Top 76%
Advanced Vision and Imaging
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