3D Wireframe

3D wireframe research focuses on efficiently generating and reconstructing three-dimensional skeletal representations of objects from various input sources, including images and point clouds. Current efforts leverage deep learning architectures like transformers and deep Q-networks to optimize toolpath planning for additive manufacturing and to generate semantically meaningful wireframes from single images or line clouds. These advancements improve the accuracy and efficiency of 3D modeling, with applications ranging from architectural design and 3D printing to computer-aided design and scene reconstruction.