deep-learning-for-architecture-and-urban-studies

awesome deep learning for scholars in architecture and urban studies

What is deep learning?

• LeCun's Nature review Deep learning http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html

Urban/Street scale

• Deep learning the city: Quantifying urban perception at a global scale https://link.springer.com/chapter/10.1007/978-3-319-46448-0_12

• Combining satellite imagery and machine learning to predict poverty http://science.sciencemag.org/content/353/6301/790

• Estimate neighborhood with cars in Google Street View Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US https://arxiv.org/abs/1702.06683

• Cataloging public objects using aerial and street-level images-urban trees http://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Wegner_Cataloging_Public_Objects_CVPR_2016_paper.html

• Quantifying curb appeal http://ieeexplore.ieee.org/abstract/document/7533189/

• The Cityscapes Dataset for Semantic Urban Scene Understanding http://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Cordts_The_Cityscapes_Dataset_CVPR_2016_paper.html

• Visual Place Recognition: A Survey http://ieeexplore.ieee.org/abstract/document/7339473/

• NetVLAD: CNN Architecture for Weakly Supervised Place Recognition http://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Arandjelovic_NetVLAD_CNN_Architecture_CVPR_2016_paper.html

• Place CNN http://places.csail.mit.edu/ http://places2.csail.mit.edu/

• Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale https://arxiv.org/abs/1704.02965

Architecture/Indoor scale

• Linking Past to Present: Discovering Style in Two Centuries of Architecture http://ieeexplore.ieee.org/document/7168368/

• IM2CAD https://arxiv.org/abs/1608.05137

• Deep Multi-Modal Image Correspondence Learning https://arxiv.org/abs/1612.01225

• Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling http://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling

Image

• Image Style Transfer Using Convolutional Neural Networks http://ieeexplore.ieee.org/document/7780634/

• Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

• NIPS 2016 Tutorial: Generative Adversarial Networks https://arxiv.org/abs/1701.00160

• Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space https://arxiv.org/abs/1612.00005