Curve Modeling

Curve modeling focuses on representing data points as continuous curves, aiming to efficiently capture underlying patterns and relationships. Current research emphasizes developing robust and efficient algorithms, including those based on Bézier curves and deep learning models like Deep Image Prior, to address challenges in diverse applications such as image classification, lane detection, and signal processing. These advancements improve model accuracy, reduce computational costs (e.g., by requiring fewer data points), and enable automated analysis of complex datasets, impacting fields ranging from computer vision to materials science. The development of automated tools further enhances accessibility and usability for non-experts.