Peking University, Math Magic and HKUST · Image-to-3D

UniForge3D

A model, posted 11 October (arXiv 2610.15357), that builds complete 3D assets from sparse, unposed images by reconstructing the geometry the inputs show and generating unseen parts from learned shape priors. Both branches work in one shared space that follows the anchor view's azimuth while keeping the object upright, removing the usual mismatch between camera-relative reconstruction and canonical-space generation. The branches exchange features to predict per-view point maps and a sparse voxel structure, and each voxel takes guidance from its most informative view. The authors report state-of-the-art appearance and geometry on Toys4K and GSO without giving numbers on the page. Code is listed as coming soon.