Draw to shade: A personalized daylighting regulation method through user-involved paintings for enhanced indoor visual comfort and aesthetics experience

Fan, Yige; Xue, Jiao; Zheng, Hao; Lai, Dayi

doi:10.1016/j.jobe.2023.108014

Journal of Building Engineering

2023

DOI: 10.1016/j.jobe.2023.108014

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Draw to shade: A personalized daylighting regulation method through user-involved paintings for enhanced indoor visual comfort and aesthetics experience

Yige Fan,

Jiao Xue,

Hao Zheng

et al.

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2024

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Cited by 4 publications

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Adaptive interior design method for different MBTI personality types based on generative artificial intelligence

Huang

2024

ARIN

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Accurately predicting homeowners’ aesthetic preferences is crucial in interior design. This study develops a fine-tuning model (LORA) for interior design styles corresponding to different MBTI personality types, leveraging the Stable Diffusion Web UI platform and integrating it into a generative artificial intelligence framework. Subsequently, personalized aesthetic preference architectural interior renderings are recommended based on homeowners’ personality traits, aiming to achieve an adaptive interior design approach. To achieve more precise adaptive solutions, this research surveys the style and color tendencies of respondents with different MBTI personality types and adds style description prompts to assist in image generation. The study finds that this method can better predict the interior design styles favored by certain MBTI personality types. This research contributes to addressing aesthetic biases between designers and homeowners, bringing innovative ideas and methods to interior design, and is expected to enhance homeowners’ satisfaction.

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Adaptive interior design method for different MBTI personality types based on generative artificial intelligence

Huang

2024

ARIN

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Development of novel variable building skin with solar concentrating technology for obtaining energy benefits and optimizing indoor daylighting

Wang,

Zhang,

Zhang

et al. 2024

Energy and Buildings

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Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion

Han,

Chen

2024

Buildings

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This study focuses on the automatic generation of architectural floor plans for standard nursing units in general hospitals based on Stable Diffusion. It aims at assisting architects in efficiently generating a variety of preliminary plan preview schemes and enhancing the efficiency of the pre-planning stage of medical buildings. It includes dataset processing, model training, model testing and generation. It enables the generation of well-organized, clear, and readable functional block floor plans with strong generalization capabilities by inputting the boundaries of the nursing unit’s floor plan. Quantitative analysis demonstrated that 82% of the generated samples met the evaluation criteria for standard nursing units. Additionally, a comparative experiment was conducted using the same dataset to train a deep learning model based on Generative Adversarial Networks (GANs). The conclusion describes the strengths and limitations of the methodology, pointing out directions for improvement by future studies.

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Draw to shade: A personalized daylighting regulation method through user-involved paintings for enhanced indoor visual comfort and aesthetics experience

Cited by 4 publications

References 31 publications

Adaptive interior design method for different MBTI personality types based on generative artificial intelligence

Adaptive interior design method for different MBTI personality types based on generative artificial intelligence

Development of novel variable building skin with solar concentrating technology for obtaining energy benefits and optimizing indoor daylighting

Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion

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