Human Aesthetic

Human aesthetic perception is a complex field investigating how humans judge beauty and artistic merit, with current research focusing on aligning computational models with human aesthetic standards. This involves developing and benchmarking multimodal models, often incorporating large language models (LLMs) and deep learning architectures like diffusion models and GANs, to predict and generate aesthetically pleasing outputs across various media, including images and QR codes. These advancements have implications for improving image retrieval systems, personalized art generation, and even assessing the "artness" of AI-generated content, ultimately contributing to a deeper understanding of human perception and creative processes.