Meta-PO transfers prior users' preference models through weighted Bayesian optimization, helping new users find desired image or lighting appearances in about 4 to 8 iterations instead of 7 to 10.
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Efficient Visual Appearance Optimization by Learning from Prior Preferences
Meta-PO transfers prior users' preference models through weighted Bayesian optimization, helping new users find desired image or lighting appearances in about 4 to 8 iterations instead of 7 to 10.