CAD Model

CAD model research focuses on efficiently and accurately generating, manipulating, and understanding 3D CAD models from various input sources, such as images and sketches. Current efforts concentrate on developing novel algorithms and neural network architectures, including those based on transformers and point cloud processing, to improve the accuracy and robustness of tasks like 3D reconstruction from 2D data, feature extraction, and pose estimation. These advancements are driving progress in robotics, digital manufacturing, and other fields by enabling more efficient and automated processes for 3D model creation and manipulation.