NVIDIA Spatial Intelligence Lab (SIL)
Our goal is to advance foundational technologies enabling AI systems to perceive, model, and meaningfully interact with the physical world.
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Showing 10 of 116 repositories
- XCube Public
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
nv-tlabs/XCube’s past year of commit activity - Gamma-World Public
Implementation of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
nv-tlabs/Gamma-World’s past year of commit activity - 3DGRUT-ArtiFixer Public
nv-tlabs/3DGRUT-ArtiFixer’s past year of commit activity - GEN3C Public
[CVPR 2025 Highlight] GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
nv-tlabs/GEN3C’s past year of commit activity - wosx Public
Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations
nv-tlabs/wosx’s past year of commit activity - TokenGS Public
[CVPR'26] TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens
nv-tlabs/TokenGS’s past year of commit activity
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