Orthographic Drawing

Orthographic drawing, the representation of an object from multiple perpendicular views, is a focus of current research aiming to bridge the gap between 2D images and 3D models. Researchers are employing deep learning techniques, particularly convolutional neural networks (CNNs) and transformer-based models, to automate tasks such as 3D reconstruction from orthographic projections, scoring the quality of drawings (e.g., in cognitive assessments), and even generating drawings from text descriptions. These advancements have implications for diverse fields, including computer-aided design (CAD), medical diagnosis, and the analysis of artistic and archaeological artifacts, offering more efficient and accurate methods for processing and interpreting visual information.