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At SIGGRAPH, NVIDIA introduced fVDB, a deep-learning framework for creating high-fidelity 3D representations empowering AI with spatial understanding.
Image source: NVIDIA
fVDB translates raw data from LiDAR and NeRFs into large-scale AI-compatible virtual environments that can be rendered in real-time.
Image source: NVIDIA
fVDB's 3D modeling has applications in autonomous vehicles, generative physical AI, climate research, disaster planning, and city infrastructure optimization.
Image source: NVIDIA
Compared to previous frameworks, fVDB offers 10x more AI operators, 3.5x faster processing speeds, 4x larger spatial scale, and interoperability.
Image source: NVIDIA
NVIDIA's fVDB is available via an early access program for its PyTorch extension and will also be available through the OpenVDB GitHub repository.
Image source: NVIDIA