Meet Magic123: A Novel Image-to-3d Pipeline That Uses A Two-stage Coarse-to-fine Optimization Process To Produce High-quality High-resolution 3d Geometry And Textures

Recent advancements in deep learning have made great progress in image identification and creation, but the challenge of 3D reconstruction from an unposed image remains an open, ill-posed topic in computer vision. To bridge the gap between human and machine 3D reconstruction abilities, strategies that employ 2D models as priors for creating 3D material have been developed. DreamFusion pioneered this 2D prior-based technology for text-to-3D creation, and recent research has attempted to adapt these 2D priors for single-picture 3D reconstruction.