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City-GAN: Learning architectural styles using a custom Conditional GAN architecture [article]

Maximilian Bachl, Daniel C. Ferreira
2020 arXiv   pre-print
We use GANs to learn architectural features of major cities and to generate images of buildings which do not exist.  ...  We show that currently available GAN and CGAN architectures are unsuited for this task and propose a custom architecture and demonstrate that our architecture has superior performance for this task and  ...  CONDITIONAL GAN 1 After realizing that a regular GAN has problems learning the data distribution we used a conditional GAN (CGAN) [3] .  ... 
arXiv:1907.05280v2 fatcat:qcfyf3trofayjflw6gwjxecxm4

Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2 [chapter]

Shengyu Meng
2021 Proceedings of the 2021 DigitalFUTURES  
AbstractGAN has been widely applied in the research of architectural image generation.  ...  In this paper, by implementing StyleGAN2 model, plausible building façade images could be generated without conditional input.  ...  architecture[22].Different with previous research, In 2019, Bachl et al. developed City-GAN to synthesis novel city images from random input by learning from large street view dataset.  ... 
doi:10.1007/978-981-16-5983-6_6 fatcat:ytavd4e7qje6tfb2xi42f2k5tm

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

Chaopeng Shen
2018 Water Resources Research  
Moreover, DL can also use data to condition neurons that mimic problem-specific fundamental organizing units, thus revealing emergent behaviors of these units.  ...  Deep learning (DL), a new-generation of artificial neural network research, has transformed industries, daily lives and various scientific disciplines in recent years.  ...  GANs have been trained to generate images described by an input sentence (Sriram et al., 2017) ; GANs can transfer Monet's or painting styles to new raw pictures (J.  ... 
doi:10.1029/2018wr022643 fatcat:ruopsnchg5eg5hsiccyadinf54

Machine Learning Assisted Urban Filling

Jiaqi Shen, Chuan Liu, Yue Ren, Hao Zheng
2020 CAADRIA proceedings   unpublished
Meanwhile, machine learning, as a decision-making tool, has been widely used in many fields.  ...  Generative Adversarial Network (GAN) is a model frame in machine learning, specially designed to learn and generate image data.  ...  Computer Aided Design in Architecture, Mexico City, Mexico, 18-20. Kim, H.S. and Cho, S.B.: 2000  ... 
doi:10.52842/conf.caadria.2020.2.679 fatcat:jibjhdkrhna3hiykkbqtdhrcqm

Urban Parks and Their Economic Roles - In the Context of Urban Redevelopment, United States -
도시 공원의 경제적 역할 - 미국 도시 재생 운동에서의 사례를 바탕으로 -

Heeyeun Yoon
2013 Journal of the Korean Institute of Landscape Architecture  
The primary goal of this research is to link two currently disconnected literature; the history of urban redevelopment and the one of urban parks and open spaces in the United States (US).  ...  While urban parks in the 19 th century urbanization period held a preeminent place in urban design, policy and economy, ensuing depression and World War II diminished their role as a channel to ease unemployment  ...  In the future, comparative study with Korean condition would make this research more enriched, and applicable tactics could be learned for the Korean landscape architecture field.  ... 
doi:10.9715/kila.2013.41.4.085 fatcat:3zqyosdolvdtbmexmfj2uk7mrq

Urban geospatial digital neighborhood areas

Giovani H. Graziosi
2012
It analyzes the demand and supply sides of information from a community perspective to understand how variations in local boundary definitions condition the quantity and quality of informational resources  ...  These datasets are analyzed using a series of Geographic Information System (GIS) processes and results are loaded into a final GeoDNA database developed according to current Geospatial Information and  ...  Originally conceived as Demonstration Cities (Gans 1991:127) , the 1965 Model Cities targeted specific areas to make them a 'model' of redevelopment at a bigger scale (Von Hoffman 2003) of physical rehabilitation  ... 
doi:10.7282/t3xk8dmd fatcat:4s4dcwtxebbcrf4blsyt2fwksy