NAMVIS: Parallel Multi-View Image Synthesis via Geometry-Conditioned Autoregression

NAMVIS replaces iterative diffusion denoising with a diffusion-free, next-scale autoregressive framework for 3D content creation. It uses Multi-scale Projective Pose Encoding to predict discrete visual tokens in parallel across views, significantly reducing inference latency compared to standard diffusion models.