Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors

ArXi:2603.18782v1 Announce Type: cross Recent progress in 3D generation has been driven largely by models conditioned on images or text, while readily available 3D priors are still underused. In many real-world scenarios, the visible-region point cloud are easy to obtain from active sensors such as LiDAR or from feed-forward predictors like VGGT, offering explicit geometric constraints that current methods fail to exploit. In this work, we