Computer Aided Design
Computer-aided design (CAD) research focuses on improving the efficiency and capabilities of digital design tools, primarily by leveraging advancements in artificial intelligence. Current efforts concentrate on developing generative models, often employing large language models (LLMs) and graph neural networks (GNNs), to automate tasks such as sketch generation, 3D model reconstruction from images or point clouds, and assembly creation. These advancements aim to streamline the design process, improve accuracy, and reduce the expertise required for complex CAD operations, impacting various industries from manufacturing to architecture.
Papers
CAD-Recode: Reverse Engineering CAD Code from Point Clouds
Danila Rukhovich, Elona Dupont, Dimitrios Mallis, Kseniya Cherenkova, Anis Kacem, Djamila Aouada
CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers?
Dimitrios Mallis, Ahmet Serdar Karadeniz, Sebastian Cavada, Danila Rukhovich, Niki Foteinopoulou, Kseniya Cherenkova, Anis Kacem, Djamila Aouada