Atlas: World Labs' Omni World Model

2026-09-03T00:00:00+12:00

Introducing Atlas: The world’s first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.

Model the world, move the camera, and simulate space & time.

World Labs, announcing Atlas on X.

World Labs, the startup Fei-Fei Li co-founded, pretrained Atlas from scratch on text, images, video, and 3D together, not a video model with 3D bolted on after. It’s a multimodal autoregressive diffusion transformer: it generates the next frame by denoising it, one step at a time, conditioned on that 3D-positioned context.

From 1 to 6 reference images, it generates up to a minute of video at 1440p with pixel-accurate camera control. Feed it more images, up to dozens, and it reconstructs the scene as an explicit 3D point cloud or Gaussian splat instead of just more video.

World Labs ran human preference tests against camera-controlled generators: 75% of raters preferred Atlas over MiniMax H, 81% over Gemini Omni Flash, 93% over FLUX. On 3D reconstruction accuracy across seven datasets, Atlas averaged 25.3 mean absolute-relative pointmap error, ahead of the next-best specialist model, Pi3X, at 28.7.

The target use case is Real-to-Sim: point a phone at a room, and Atlas turns that into a 3D space a robot can train in. Atlas is in early access with select partners now, and will power future versions of World Labs’ existing product, Marble.

Ju Lin's AI Weblog: World-Models

Atlas: World Labs' Omni World Model