/PhDThesis

Ph.D. Thesis in Deep Learning - AI-Assisted Creative Expression: a Case for Automatic Lineart Colorization

Primary LanguageTeXCreative Commons Attribution 4.0 InternationalCC-BY-4.0

PhD Thesis

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This repository contains the source code and the compiled versions of my Ph.D. Thesis.

Quickstart

  • Prepare a Dev Environement:

    • Install the VSCode deb file: sudo dpkg -i code_${VERSION}_amd64.deb
    • Install the Pandoc deb file: sudo dpkg -i pandoc-${VERSION}-amd64.deb
    • Install the Pandoc-CrossRef tar file:
      • Extract the files: tar -xf pandoc-crossref-Linux.tar.xz
      • Move the files: mv pandoc-crossref /usr/bin/ && mv pandoc-crossref.1 /usr/bin/
      • Give execution rights: sudo chmod a+x pandoc-crossref pandoc-crossref.1
    • Install the Pandoc-CiteProc executable:
      • Update apt and install: sudo apt update && sudo apt install pandoc-citeproc
    • Install the Pandoc-Acronym module:
      • Git clone: git clone https://github.com/kprussing/pandoc-acro.git
      • Install python module: python3 setup.py install
    • Install xelatex libs: sudo apt install texlive-full
    • Install entr: sudo apt install entr
    • Install exiftool: sudo apt install exiftool
    • Install librsvg: sudo apt install librsvg2-bin
    • Install ghostscript: sudo apt install ghostscript
  • Launch a Dev Session:

    • Launch in terminal: make dev
    • Serve the HTML file with VSCode or other
  • Build the Thesis Files: make

License

AI-Assisted Creative Expression: a Case for Automatic Lineart Colorization © 2023 by Yliess Hati is licensed under CC BY 4.0