# WorldCrafter

The work presents WorldCrafter, a camera-controllable autoregressive video world model that learns a camera-queryable implicit 3D-aware memory, compressing historical latent frames into a fixed budget of memory tokens read out under the requested viewpoint and injected into the video diffusion transformer before denoising, so that a single image or text prompt supports streaming, minute-scale scene exploration with better revisit consistency and camera-control accuracy than the evaluated baselines while preserving visual quality.

The work presents WorldCrafter, a camera-controllable autoregressive video world model that learns a camera-queryable implicit 3D-aware memory, compressing historical latent frames into a fixed budget of memory tokens read out under the requested viewpoint and injected into the video diffusion transformer before denoising, so that a single image or text prompt supports streaming, minute-scale scene exploration with better revisit consistency and camera-control accuracy than the evaluated baselines while preserving visual quality.