Image-to-3D

Image-to-3D reconstruction infers full 3D geometry from one or a few images — a fundamentally ill-posed problem that recent models solve with learned geometric priors. Traditional multi-view stereo required dozens of calibrated views, but single-image methods like One-2-3-45 (2023) and TripoSR leverage large-scale 3D training data to hallucinate plausible geometry from a single photo. 3D Gaussian Splatting (2023) revolutionized the representation side, enabling real-time rendering of reconstructed scenes. The practical gap is clear: scanned objects still look better than generated ones, but the convenience of snap-and-reconstruct is reshaping e-commerce product visualization and AR content creation.