SyncDreamer is a generative model that synthesizes multiple consistent views of a scene or object from a single 2D image. It uses a synchronized multi-view diffusion approach to ensure geometric consistency across generated viewpoints, enabling 3D reconstruction from monocular input. The project includes inference code, pretrained models, training code, and evaluation tools.