Artificial Intelligence1 min read

New NVIDIA Cosmos 3 Open Models for Interactive World Simulation

By · Published by Everything Blog

In short

The release introduces four distinct checkpoints built as 16-billion-parameter variants of Cosmos 3 Nano under the OpenMDW1.1 license. Developers can utilize these tools to evaluate driving policies across diverse environmental conditions or model complex physical behaviors from direct control inputs. Notably, Cosmos3-Nano-Sim-Auto enables efficient ongoing simulation by producing synchronized camera and LiDAR streams in only a few denoising steps.

Key points

  • Developers can deploy open-weight world models to generate synthetic multi-sensor driving…: Developers can deploy open-weight world models to generate synthetic multi-sensor driving data across varied weather and lighting conditions.
  • The causally distilled simulation models enable fast streaming of synchronized sensor fee…: The causally distilled simulation models enable fast streaming of synchronized sensor feeds using only a few denoising steps.
  • Robotics researchers gain tools to convert physics simulator controls and text prompts in…: Robotics researchers gain tools to convert physics simulator controls and text prompts into photorealistic video observations.

Sources checked by our analysis pipeline: 1

TL;DR

NVIDIA Cosmos world model development platform adds four new open-weight checkpoints to its Cosmos 3 model family for generating interactive world simulation and multi-sensor multi-view driving scenes:

- 🌦️ Cosmos3-Nano-Transfer-Auto : Generate multi-view driving data with varied weather, lighting, and time of day.

- 🚗 Cosmos3-Nano-Sim-Auto : Stream synchronized camera and LiDAR observations for driving simulation.

- 🎨 Cosmos3-Nano-Sim-Transfer : Turn simulator controls and a text prompt into photorealistic video.

- 🤖 Cosmos3-Nano-Sim-Bimanual : Predict video from robot or camera actions.

All four models are post-trained examples of Cosmos 3 Nano and have 16B trainable parameters. The models use OpenMDW1.1, permitting commercial and non-commercial use under its terms.

Download the checkpoints · Read the technical report . Watch the demos

Why do you need these checkpoints?

🦾 Robotics needs environments that can answer this across changing scenes and viewpoints. These checkpoints offer complementary ways to build them: Sim-Bimanual predicts visual consequences from actions, while Sim-Transfer turns a physics simulator’s controls into generated observations.

🚦 For autonomous driving, appearance and geometry must agree. Synchronized camera and LiDAR generation connects visual…

Artificial Intelligence