mlsanityData to 14 Oct 2026

Generative AI and the History of Architecture

arXiv 2312.15106 ↗First posted 22 Dec 2023cs.AI cs.IRcited by 0

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Abstract (arXiv)

Recent generative AI platforms are able to create texts or impressive images from simple text prompts. This makes them powerful tools for summarizing knowledge about architectural history or deriving new creative work in early design tasks like ideation, sketching and modelling. But, how good is the understanding of the generative AI models of the history of architecture? Has it learned to properly distinguish styles, or is it hallucinating information? In this chapter, we investigate this question for generative AI platforms for text and image generation for different architectural styles, to understand the capabilities and boundaries of knowledge of those tools. We also analyze how they are already being used by analyzing a data set of 101 million Midjourney queries to see if and how practitioners are already querying for specific architectural concepts.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 31 references that are in the map. First posted on arXiv 22 Dec 2023.

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21 of 31 references.

References · 21

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  5. 2022Training language models to follow instructions with human feedbackcited by 15,971
  6. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  7. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  8. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  9. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  10. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  11. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  12. 2022Video Diffusion Modelscited by 2,305
9 more
  1. 2019VisualBERT: A Simple and Performant Baseline for Vision and Languagecited by 1,296
  2. 2022Human Motion Diffusion Modelcited by 1,080
  3. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 894
  4. 2021Diffusion Probabilistic Models for 3D Point Cloud Generationcited by 735
  5. 2023Investigating the use of ChatGPT for the scheduling of construction projectscited by 17
  6. 2022DALLE-URBAN: Capturing the urban design expertise of large text to image transformerscited by 12
  7. 2022AI Art in Architecturecited by 12
  8. 2022Can Artificial Intelligence Reconstruct Ancient Mosaics?cited by 2
  9. 2023Automating Computational Design with Generative AIcited by 2

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