Point-MF: Stabilizing One-Step Mean Flows for Single-Image Point Cloud Reconstruction
Point-MF reconstructs complete 3D point clouds from a single RGB image using a Mean Flow formulation instead of complex diffusion models. It achieves low Network Function Evaluations (1-NFE) by learning the mean velocity field directly in point cloud space, enabling fast and stable geometry generation without needing many denoising steps.