MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model (nvlabs.github.io)

A groundbreaking motion generation framework called MotionBricks has been introduced, featuring a large-scale modular latent generative model that can robustly create real-time animations. This innovative system is capable of processing over 350,000 motion clips with a single model, allowing for the seamless assembly of animations without requiring fine-tuning or task-specific tagging. MotionBricks utilizes "smart primitives" to provide an intuitive interface for navigation and object interaction, making it accessible for developers regardless of their animation expertise. An impressive Unreal Engine 5 demo showcases the full range of use cases, with every generated motion produced by neural networks, eliminating traditional animation challenges. The significance of MotionBricks lies in its novel approach to motion generation, offering unparalleled quality and controllability. As the first neural model to achieve such complexity and completeness, it is now a foundational component of NVIDIA’s GR00T Whole-Body Control project, pushing forward the boundaries of animating AI in robotics. The public release includes access to pretrained models, an interactive demonstration, and a training pipeline, empowering the AI/ML community to develop their own applications based on this technology. With easy-to-use tools, MotionBricks sets a new standard for real-time motion modeling that could reshape industries such as gaming and robotics.