Halloween version (looks good in "dark mode"):

Congratulations, Anton, this does look like an ink blot. However, when I see the Rorschach mask, I also immediately think of Aleksandr Ivanovich Luzhin from Nabokov's book "The Defense".

Thank you, Ahmed!

And yes, I also have been thinking about that "Rorschach animation effect" since I watched the movie... Basically, LSA approximations are uniquely fit for doing this kind of effect.

Another approach is to use neural networks in a manner of DeepDream. That is much more computationally expensive, though. (Hence, experimentation would take longer times.)

The reasons this "worked" are:

• WL functionalities
  • Comprehensive image processing and image effects functionalities
  • "Out of the box" parallel programming functionalities
    • Without parallel computations making the experiments would have been too slow for me to come up with something "good" within art competition's deadlines.
  • Fast Singular Value Decomposition
  • "Out of the box" neural network functionalities
• Computational elements
  • Previous work on random graphics generation (mandalas, scribbles)
  • Curation, documentation, and availability at Wolfram Function Repository (WFR) - Having sound design of computation module is important if solutions have to be delivered reliably and quickly.
  • Previous work on dimension reduction techniques
    • Latent Semantic Analysis (LSA) representation is uniquely fit for these kind of effects
  • The 3D face reconstruction neural network and related documentation
    • Available through Wolfram's repositories / sites