"Magic123" is a two-stage solution for generating high-quality 3D meshes from single images. It uses 2D and 3D priors to optimize a neural radiance field in the first stage, creating a coarse geometry. The second stage utilizes a memory-efficient mesh representation to produce a high-resolution mesh with appealing texture. Through reference view supervision and diffusion priors, the approach generates novel views. The system incorporates a tradeoff parameter for controlling the balance between exploration and precision in the generated geometry.