Layout2Rendering: AI-aided Greenspace design

no code implementations • 21 Apr 2024 • Ran Chen, Zeke Lian, Yueheng He, Xiao Ling, Fuyu Yang, Xueqi Yao, Xingjian Yi, Jing Zhao

Experimental results show that: (1) the system, with the aid of AI-assisted technology, can rapidly generate space green space schemes that meet the designer's perspective based on site conditions; (2) this study has vectorized and three-dimensionalized various types of landscape design elements based on semantic information; (3) the analysis and visualization module constructed in this study can perform landscape analysis on the generated three-dimensional models and produce node effect diagrams, allowing users to modify the design in real time based on the effects, thus enhancing the system's interactivity.

Research on the Laws of Multimodal Perception and Cognition from a Cross-cultural Perspective -- Taking Overseas Chinese Gardens as an Example

no code implementations • 29 Dec 2023 • Ran Chen, Xueqi Yao, Jing Zhao, Shuhan Xu, Sirui Zhang, Yijun Mao

This study aims to explore the complex relationship between perceptual and cognitive interactions in multimodal data analysis, with a specific emphasis on spatial experience design in overseas Chinese gardens.

Exploring the Impacts of Land Use/Cover Change on Ecosystem Services in Multiple Scenarios --The Case of Sichuan-Chongqing Region, China

no code implementations • 19 Dec 2023 • Ran Chen, Jing Zhao, Xiaomin Luo, Xinxue Yan, Xi Zheng, Yijun Mao, Xiaoping Fu, Xueqi Yao, Sijia Jiang

This study focuses on the "ecology-food" imbalance problem. taking Sichuan-Chongqing Region as an example, to set up future scenarios topredicate the distribution of ESs.

A Framework of Full-Process Generation Design for Park Green Spaces Based on Remote Sensing Segmentation-GAN-Diffusion

no code implementations • 17 Dec 2023 • Ran Chen, Xingjian Yi, Jing Zhao, Yueheng He, Bainian Chen, Xueqi Yao, Fangjun Liu, Haoran Li, Zeke Lian

There are two research gaps in the current research: 1) Most studies only focus on the relationship between design elements and pay little attention to the external information of the site; 2) GAN and other traditional generative algorithms generate results with low resolution and insufficient details.

Run-and-tumble particles on a line with a fertile site

no code implementations • 15 Dec 2020 • Pascal Grange, Xueqi Yao

Moreover, the total density of RTPs (divided by the density of right-movers at the origin), reaches a stationary state that does not depend on the initial conditions, and presents a local minimum at the fertile site.

Statistical Mechanics