Automatic Estimation for Visual Quality Changes of Street Space via Street-View Images and Multimodal Large Language Models
Author:
Affiliation:
1. College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
2. Architecture and Design College, Nanchang University, Nanchang, China
3. Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
Funder
Key Research Base of Humanities and Social Sciences in Jiangxi Universities, in 2023
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10546929.pdf?arnumber=10546929
Reference63 articles.
1. Urban planning and quality of life: A review of pathways linking the built environment to subjective well-being
2. Study of Visual Quality Assessment on Pattern Images: Subjective Evaluation and Visual Saliency Effects
3. Exploring the potential connection between place capital and health capital in the post COVID-19 city
4. The COVID-19 pandemic: Impacts on cities and major lessons for urban planning, design, and management
5. Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing
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