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City-of-Poems

AI Artathon 2.0 Submission

City of Poems

Generating new architectural compositions using AI for AI Artathon 2.0

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ML/DL Approaches and Tools Used

  • Python 3.8.
  • Aleph2Image (CLIP & DALL-E) for text-to-image generation, code by Ryan Murdock.
  • OpenCV.
  • GAN (Generative Adversarial Network).
  • VoxelFuse.
  • blender.
  • Interactive Region Growing Segmentation, code by Samarth Gupta.
  • Simple Linear Iterative Clustering (SLIC).
  • Graph-based Image Segmentation (Felzenszwalb).
  • Google Image Scraper using Search Terms code is by Jayden Oh Yicong.
  • Selenium.
  • Natural Language Processing(NLP) for textual data preprocessing.

Collected Dataset 📜

  • Over 176,000 images were scraped from Google with a total size of 4.15 GB.
  • Text that was used to scrape images is from 58K Arabic poems dataset by Fahd on Kaggle.

Authors

Fatima AlGhamdi

Wafa AlGhamdi

Reem AlRowaili

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AI Artathon 2.0 Submission

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