Hunyuan3D-2 is a machine learning framework designed to convert two-dimensional images into fully realized, textured three-dimensional meshes. It utilizes a generative artificial intelligence model to perform both shape construction and surface texture synthesis, enabling the automated creation of digital assets.
The system distinguishes itself through a modular generative pipeline that separates geometry reconstruction from texture mapping. It employs multi-view image projection and latent diffusion techniques to ensure geometric consistency, while providing a plugin-based bridge architecture that allows for direct integration into professional three-dimensional design software environments.
Beyond core generation, the project supports automated workflows through a local service that handles programmatic requests for asset creation. This allows users to trigger generation tasks and apply high-resolution surface details to existing geometry directly from external scripts or modeling applications.
