Researchers From ETH Zurich and Max Plank Propose HOOD: A New Method that Leverages Graph Neural Networks, Multi-Level Message Passing, and Unsupervised Training to Enable Efficient Prediction of Realistic Clothing Dynamics

Telepresence, virtual try-on, video games, and many more applications that depend on high-fidelity digital humans require the ability to simulate appealing and realistic clothing behavior. Using simulations based on physical laws is a popular method for producing natural dynamic movements. While physical simulation may provide amazing results, it is expensive to compute, sensitive to beginning […]

The post Researchers From ETH Zurich and Max Plank Propose HOOD: A New Method that Leverages Graph Neural Networks, Multi-Level Message Passing, and Unsupervised …

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