#3D AIGC

One-2-3-45 presents a novel approach in utilizing 2D diffusion models for 3D AI content generation with a forward-only paradigm that minimizes optimization time. It allows efficient creation of 3D models, as showcased by updates such as rendering scripts and APIs for inference. Accepted at NeurIPS 2023 and integrated with Hugging Face Spaces, the project offers revolutionary methods for 3D modeling with easy setup options. Interactive demos and model training using the Objaverse-LVIS dataset enhance user engagement.

Wonder3D converts single-view images into detailed 3D meshes in minutes using cross-domain diffusion. It achieves high-quality reconstruction by creating consistent multi-view normal maps and employing a novel fusion method. The project offers regular updates, code resources, and examples to support users and invites collaborations for further enhancement.