The article provides an overview of AIGC 3D technology, noting its significant progress from "0 to 1" but highlighting ongoing challenges in optimizing algorithms, computing power, and acquiring high-quality data. Key foundational technologies include Nerf, a neural radiance field for 3D reconstruction from 2D images, recognized for its quality but slowness. Zero123 and Zero123++ address multi-view inconsistency by generating continuous, fixed-angle images from a single input, enabling better 3D reconstruction. A newer, faster, and more accurate method, Gaussian Splatting, is emerging as a major trend, not requiring neural network training. Application-level tools have rapidly evolved, including Dream Fusion (text-to-3D, 2022), Point E and Shape E (2D to point cloud/mesh, 2022-2023), Dream Gaussian (fast 3D from Gaussian Splatting, 2023), Wonder 3D (open-source, high-quality 3D from image, 2023), One2345++ (improved consistency/smoothness, 2023), and Stable Zero123 (improved Zero123, 2023). While current AI-generated 3D models require further optimization in speed and quality, the technology's future is promising, though AI is not yet replacing detailed design modeling work.

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