Iris Coleman 2024-07-26 01:35
The latest release of the NVIDIA Kaolin library introduces Simplicits, enabling advanced elastic simulation on a wide range of 3D models to enhance applications such as AR/VR and robotics.
Recent advances in generative AI and multi-view reconstruction have paved the way for rapid generation of 3D content, but real-world applications in areas like robotics, design, augmented reality (AR), virtual reality (VR) and gaming require manipulating these 3D models in physically plausible ways, according to an NVIDIA technical blog.
Issues with conventional physical simulations
Traditional physics simulation algorithms designed for well-conditioned, manually curated geometry, such as tetrahedral volumetric meshes, face significant challenges when dealing with the diverse and messy input geometries generated by modern 3D content generation techniques.
Introducing Simplicity at Kaolin Library
To address these challenges, the latest release of the NVIDIA Kaolin library incorporates a cutting-edge technique called Simplicits, a unified representation that enables physics simulation on a wide range of geometries, including cluttered meshes, point clouds, and trained representations such as Gaussian splats and Neural Radiance Fields (NeRF).
APIs for different user levels
The Kaolin Physics API provides two levels of abstraction for working with Simplicity: physics experts can leverage low-level functionality, while generative AI developers can leverage a more accessible higher-level API.
Interactive Simulations and Applications
Demo videos showcase elasticity simulations on a variety of meshes, including a real-time interactive simulation of a chair model in a Jupyter notebook. This capability enables rapid prototyping of new interactive applications for diverse geometric representations emerging from AI research. Additionally, users can pass splat segments to Simplicits to simulate complex objects, as demonstrated by the simulation of Gaussian splats on an apple.
Advanced Muscle Simulation
The video also introduces muscle simulation with Simplicits, showing volumetric motion of bone and anisotropic muscle fibers. Simplicits effectively manages material heterogeneity between bone and muscle, providing a robust solution for simulating complex biological structures. For more information, see the Muscle Simulation tutorial.
Conclusion
Representation-independent physics simulation is now available in the NVIDIA Kaolin library, and interested users can join us at the SIGGRAPH 2024 conference to learn more about Simplicity and the latest 3D deep learning technologies added to the Kaolin library.
To learn more, join the 3D deep learning community on the NVIDIA Kaolin forum.
Image credit: Shutterstock
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