Together with the JoinABLe paper, the Autodesk AI Lab released the Fusion 360 Gallery Assembly Dataset, which offers the AI research community multi-part CAD assemblies with rich information on joints, contact surfaces, holes, and the underlying assembly graph structure. This work, done with peers at MIT, could be applicable to everything from furniture assembly to robotic assembly lines. Have you ever wondered how physical objects with hundreds of parts are assembled in CAD? It’s often a tedious process that JoinABLe automates by learning how a pair of parts connects to form joints. JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints This is an early step in using words for 3D geometry generation, which can help users build entire 3D scenes for games, movies, and more. CLIP-Forge: Towards Zero-Shot Text-to-Shape GenerationĬLIP-Forge allows users to describe 3D objects via spoken words, and the system then generates 3D voxelized (Minecraft-style) models of those objects. Below is a summary of each paper accepted. Our papers focus on making designers’ jobs easier by using AI to reverse-engineer objects and assemblies into CAD models, as well as generate the designs themselves. The work we showcased was completed in cooperation with esteemed academic institutions, including Stanford University, Massachusetts Institute of Technology (MIT), Simon Fraser University and Korea Advanced Institute of Science & Technology (KAIST). We’re committed to growing our reputation in the AI research community by expanding our teams, partnering with notable organizations, and publishing cutting-edge AI research.Įarlier this year, the Autodesk AI Lab presented five papers on the application of deep learning to computer-aided design at the Computer Vision and Pattern Recognition Conference (CVPR 2022), one of the premier conferences in computer vision and machine learning. As of today, I’m proud to say we’ve had almost 50, including 21 this year alone.įormed in 2018 as a part of Autodesk Research, the Autodesk AI Lab conducts fundamental and applied research in AI and machine learning with an aim to unlock a new era of AI-powered design tools for our customers. When I joined Autodesk in 2019, the Autodesk AI Lab had only one paper published at a top-tier AI conference.
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