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Realistic visual renderings of street-design scenarios are essential for public engagement in active transportation planning.
Using visualization techniques for enhancing public participation in planning and design: process, implementation, and evaluation
Kheir Al-Kodmany · 1999
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Guidance for crystal ball gazers: developing a code of ethics for landscape visualization
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Elliot Fishman, Paul Schepers, and Carlijn Barbara Maria Kamphuis · 2015
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Streetscape augmentation using generative adversarial networks: Insights related to health and wellbeing
Jasper S Wijnands, Kerry A Nice, Jason Thompson, Haifeng Zhao, and Mark Stevenson · 2019
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Designing with differences, cross-disciplinary collaboration in transport infrastructure planning and design
Sofia Löfgren · 2020
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Xiaohu Lu, Zuoyue Li, Zhaopeng Cui, Martin R Oswald, Marc Pollefeys, and Rongjun Qin · 2020
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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The role of generative ai in industrial design: enhancing the design process and education
Yu-Min Fang · 2023
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Geneval: An object-focused framework for evaluating text-to-image alignment
Dhruba Ghosh, Hannaneh Hajishirzi, and Ludwig Schmidt · 2023
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Visual programming: Compositional visual reasoning without training
Tanmay Gupta and Aniruddha Kembhavi · 2023
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Optimizing prompts for text-to-image generation
Yaru Hao, Zewen Chi, Li Dong, and Furu Wei · 2023
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T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, and Xihui Liu · 2023
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Stakeholders’ experiences of what works in planning and implementing environmental interventions to promote active travel: a systematic review and qualitative synthesis
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A hybrid cycle gan-based lightweight road perception pipeline for road dataset generation for urban mobility
Balaji Ganesh Rajagopal, Manish Kumar, Abdulaziz H Alshehri, Fayez Alanazi, Ahmed Farouk Deifalla, Ahmed M Yosri, and Abdelhalim Azam · 2023
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Causality-informed rapid post-hurricane building damage detection in large scale from insar imagery
Chenguang Wang, Yepeng Liu, Xiaojian Zhang, Xuechun Li, Vladimir Paramygin, Arthriya Subgranon, Peter Sheng, Xilei Zhao, and Susu Xu · 2023
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In-context learning unlocked for diffusion models
Zhendong Wang, Yifan Jiang, Yadong Lu, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou, et al · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Exploring hybrid models for identifying locations for active mobility pathways using real-time spatial delphi and gans
Yuri Calleo, Nadia Giuffrida, and Francesco Pilla · 2024
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Streetscapes: Large-scale consistent street view generation using autoregressive video diffusion
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas Guibas, Noah Snavely, and Gordon Wetzstein · 2024
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Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, et al · 2024
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Songen Gu, Jinming Su, Yiting Duan, Xingyue Chen, Junfeng Luo, and Hao Zhao · 2025
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