Summary of Multi-scale Intervention Planning Based on Generative Design, by Ioannis Kavouras et al.
Multi-scale Intervention Planning based on Generative Design
by Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis
First submitted to arxiv on: 23 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a novel methodology for multi-scale intervention planning in urban environments using generative AI, focusing on nature-based solutions to address the scarcity of green spaces. The approach leverages image-to-image and image inpainting algorithms to visualize interventions, demonstrating its efficacy in two alleys in Thessaloniki lacking greenery. The study underscores the transformative potential of emerging technologies in shaping the future of urban intervention planning processes. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using artificial intelligence to help create more green spaces in cities. Cities often have very little green space, which can be bad for people’s health and well-being. One way to solve this problem is by creating small parks or gardens in areas that need it most. But designing and building these spaces can be hard because of many factors like cost, space, and community concerns. The researchers used AI algorithms to help design and visualize new green spaces in two alleys in Thessaloniki, Greece. They showed that this method can be effective in creating more green spaces in cities. |
Keywords
» Artificial intelligence » Image inpainting
