World Labs Unveils Atlas, an Omni World Model That Reshoots Videos From Camera Angles That Never Existed
FinanceYF5 · x · 2026-09-02
World Labs has introduced Atlas, its next-generation omni world model for spatial intelligence. Pretrained from scratch, it natively operates on text, images, video, and 3D, using a multimodal autoregressive diffusion transformer that combines all inputs into a shared spatial context while staying consistent in 3D.
Key capabilities:
- Camera-controlled generation: generates images/videos from one or more images with pixel-perfect camera control, outputting up to 1 minute of 1440p video
- Spatial reconstruction: reconstructs real-world scenes from 1 to dozens of images, producing novel-view frames and explicit 3D outputs, outperforming specialized 3D reconstruction SOTA models
- Space-time simulation: models space and time from input videos, enabling reframing and Real-to-Sim workflows for robotics
- Image generation: text-to-image and 360 panoramas with complex prompt following, text rendering, and varied styles
Atlas is built to scale, with performance improving as training compute grows, and will power future versions of Marble. In the showcased demo, footage from just three tripod-mounted phones is enough for Atlas to reconstruct the full scene and reframe it from camera positions that never existed — video generation is moving from editing pixels to genuinely understanding 3D space.
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