Meet One-2-3-45++: An Innovative Artificial Intelligence Method that Transforms a Single Image into a Detailed 3D Textured Mesh in Approximately One Minute

Researchers from UC San Diego, Zhejiang University, Tsinghua University, UCLA, and Stanford University have introduced One-2-3-45++, an innovative AI method for rapid and high-fidelity 3D object generation. The approach leverages 2D diffusion models, initially fine-tuning for consistent multi-view image generation. Multi-view conditioned 3D native diffusion models are then employed to transform these images into detailed […]

The post Meet One-2-3-45++: An Innovative Artificial Intelligence Method that Transforms a Single Image into a Detailed 3D Textured Mesh in Approximately One Minute …

ai shorts applications artificial artificial intelligence computer vision consistent diffusion diffusion models editors pick fidelity fine-tuning image intelligence machine learning mesh researchers staff stanford stanford university tech news technology tsinghua university ucla uc san diego university