АНАЛИЗ ИСПОЛЬЗОВАНИЯ ИНСТРУМЕНТОВ ИСКУТВЕННОГО ИНТЕЛЛЕКТА В АРХИТЕКТУРЕ

In response to the recent surge in interest surrounding commercial text-toimage generation platforms, this study conducted by researchers from the University of Rostock, Germany, focuses on the examination of 58 million queries sourced from the Midjourney platform. The research aims to elucidate the implications and applications of AI art tools in the realm of architecture. Through a meticulous analysis employing various statistical and natural language processing (NLP) techniques, the study systematically investigates how users interact with the platform, shedding light on their collaborative processes and creative endeavors. Additionally, the research provides qualitative insights into the outcomes of the generated images, evaluating their relevance and applicability within architectural contexts. Despite acknowledging the prevailing limitations inherent in current image generation models, the study underscores the widespread adoption of these platforms within architectural practices. Furthermore, the findings suggest that while these tools offer promising avenues for architectural ideation, collage creation, and variant exploration, there exist substantial opportunities for their integration into future architectural workflows, potentially reshaping the landscape of architectural design and visualization.

Язык
Russian
Страницы
44-48
Статус
Published
Год
2024
Организации
  • 1 Российский университет дружбы народов им. Патриса Лумумбы
Ключевые слова
архитектура; искусственный интеллект (ИИ); Изображение в архитектуре; Генерация изображений из текста; обработка естественного языка; Генеративный Искуственный Интеллект; креативность в проектировании; architecture; artificial Intelligence (AI); Image in architecture; Text-toImage generation; Natural Language Processing (NLP); generative AI; design creativity
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Другие записи

Avatkov V.A., Apanovich M.Yu., Borzova A.Yu., Bordachev T.V., Vinokurov V.I., Volokhov V.I., Vorobev S.V., Gumensky A.V., Иванченко В.С., Kashirina T.V., Матвеев О.В., Okunev I.Yu., Popleteeva G.A., Sapronova M.A., Свешникова Ю.В., Fenenko A.V., Feofanov K.A., Tsvetov P.Yu., Shkolyarskaya T.I., Shtol V.V. ...
Общество с ограниченной ответственностью Издательско-торговая корпорация "Дашков и К". 2018. 411 с.