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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- InfiniCube Public
[ICCV 2025] InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models
nv-tlabs/InfiniCube’s past year of commit activity - Cosmos-Drive-Dreams Public
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
nv-tlabs/Cosmos-Drive-Dreams’s past year of commit activity - ASE Public
Adversarial skill embeddings for training reusable controllers for physically simulated characters.
nv-tlabs/ASE’s past year of commit activity - vid2player3d Public
Official implementation for SIGGRAPH 2023 paper "Learning Physically Simulated Tennis Skills from Broadcast Videos"
nv-tlabs/vid2player3d’s past year of commit activity
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