UniForge3D Unifies 3D Reconstruction, Generation

UniForge3D’s strongest idea is making reconstruction and generation collaborate inside one geometric frame instead of treating completion as a separate afterthought.

• –Anchor-guided coordinates reduce the mismatch between camera-relative reconstruction and canonical-space generation.
• –Voxel-to-pixel correspondences let the model select the most informative input view for each local region.
• –The paper reports state-of-the-art appearance and geometry results on Toys4K and GSO.
• –Synthetic training and alignment-heavy evaluation leave real-world reflections, occlusions, unusual poses, and absolute pose accuracy as open challenges.
• –The approach looks promising for automated game, VR, and digital-twin asset capture, but hallucinated unseen surfaces still require review.