Testing the Capability of AI Art Tools for Urban Design-Reference-Cited by-同舟云学术

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Testing the Capability of AI Art Tools for Urban Design

Published:2024-03 Issue:2 Volume:44 Page:37-45
ISSN:0272-1716
Container-title:IEEE Computer Graphics and Applications
language:
Short-container-title:IEEE Comput. Grap. Appl.

Author:

Phillips Connor¹^ORCID,Jiao Junfeng¹^ORCID,Clubb Emmalee¹^ORCID

Affiliation:

1. University of Texas at Austin, Austin, TX, USA

Funder

National Science Foundation

USDOT Consortium of Cooperative Mobility for Competitive Megaregions

UT Austin Good Systems

MITRE Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/38/10478455/10409272-aam.pdf

Reference30 articles.

1. Diffusion models beat GANs on image synthesis;Dhariwal;Adv. Neural Inf. Process. Syst.,2021

2. Zero-shot text-to-image generation;Ramesh

3. High-Resolution Image Synthesis with Latent Diffusion Models

4. Midjourney documentation,2023

5. AI image generation for architecture;Jiao,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating an Image-Generative Tool on Creative Design Brainstorming Process of a Safavid Mosque Architecture Conceptual Form;Buildings;2024-03-21

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