Parameter selection for generative art with Bayesian optimisation

This is hacketon entry of OPTIVINCI team that won the hacketon of the 5th Computational Interaction Summer School at Columbia University, New York, USA. The entry utilizes Bayesian optimization for parameter tuning of image filters which evolve based on crowdsourced ratings.

Team members:
Lucas Vordemann
Salma Thalji
Wenzhe Cui
Klen Čopič Pucihar