dima

  • Expanding Design Creativity with the PHR2 Model

    Read it here. This study advances computational aesthetics in architecture by refining the Predicted Hedonic Response (PHR) model to analyze and predict aesthetic preferences across diverse architectural typologies. Utilizing a dataset of 12,025 architectural images from the Aesthetic Visual Analysis (AVA) dataset, this research integrates fractal dimension, visual complexity, depth, and brightness as aesthetic criteria.