Exploring the use of generative AI for material texturing in 3D interior design spaces DOI Creative Commons
Rgee Wharlo Gallega, Yasuyuki Sumi

Frontiers in Computer Science, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 28, 2024

Material selection is important yet difficult in interior design, as designers need to consider technical factors beyond aesthetics, such maintenance, sustainability, and costs that are often considered later stages of the design process. As a result, making changes due unanticipated constraints can be costly. We attempt approach this problem by anticipating these early conceptualization stage, where model assign textures their 3D scenes. To end, our study explores use generative AI tools, namely ChatGPT DALLE-2, both texturing scenes selecting materials for projects. Through prototype, we evaluated tools conducting user with professional students ( n = 11). Based on creativity support (CSI), participants averaged score 72.82/100, while task load (NASA-TLX), they scored 47.36/100. qualitative feedback, could easily search explore also receiving informative contextually relevant suggestions colors from ChatGPT. However, improved fine-tuning domain-specific datasets. Lastly, analyze how interacted reflect benefit using material

Language: Английский

Performance and model behavior analysis from different perspectives of Bing Chat DOI
Kubilay Muhammed Sünnetci, Ahmet Alkan, Faruk Enes Oğuz

et al.

AI and Ethics, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 5, 2024

Language: Английский

Citations

0
The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention DOI
Wasswa Shafik

Advances in web technologies and engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 430 - 469

Published: Aug. 22, 2024

This study explores the transformational potential of generative artificial intelligence (GAI) in commerce fraud detection and prevention within e-commerce, highlighting growing risk fraudulent activities due to rise online transactions data-driven various industries, including finance, healthcare. Conventional rule-based systems often fail keep up with evolving strategies, whereas GAI, employing tools like GANs variational autoencoders, can generate synthetic yet realistic data uncover sophisticated schemes. The chapter presents successful real-world examples GAI applications, emphasizing need for ethical considerations, such as privacy bias prevention, ensure responsible AI implementation. concludes that offers a potent, adaptive, strategy combat fraud, promising safer digital environment if implications are carefully managed.

Language: Английский

Citations

0
Exploring the use of generative AI for material texturing in 3D interior design spaces DOI Creative Commons
Rgee Wharlo Gallega, Yasuyuki Sumi

Frontiers in Computer Science, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 28, 2024

Material selection is important yet difficult in interior design, as designers need to consider technical factors beyond aesthetics, such maintenance, sustainability, and costs that are often considered later stages of the design process. As a result, making changes due unanticipated constraints can be costly. We attempt approach this problem by anticipating these early conceptualization stage, where model assign textures their 3D scenes. To end, our study explores use generative AI tools, namely ChatGPT DALLE-2, both texturing scenes selecting materials for projects. Through prototype, we evaluated tools conducting user with professional students ( n = 11). Based on creativity support (CSI), participants averaged score 72.82/100, while task load (NASA-TLX), they scored 47.36/100. qualitative feedback, could easily search explore also receiving informative contextually relevant suggestions colors from ChatGPT. However, improved fine-tuning domain-specific datasets. Lastly, analyze how interacted reflect benefit using material

Language: Английский

Citations

0