Visual Geometry Grounded Transformer

Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces

Researchers have developed a new latent learning framework called S$^2$VAE designed to improve the representation of 3D geometry and camera dynamics in visual world models. This approach utilizes a geometry-first perspe…