GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
Results show that the latent space is central to geometry-consistent generation and can serve as a shared interface between perception and generation.
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Results show that the latent space is central to geometry-consistent generation and can serve as a shared interface between perception and generation.
WorldCrafter is a video world model that learns a camera-queryable implicit 3D-aware memory that enables streaming scene exploration from a single input image or text prompt and shows substantial gains in long-horizon consistency and camera-control accuracy while preserving visual quality during minute-scale exploratio...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.