AI RESEARCH
Point-MF: One-step Point Cloud Generation from a Single Image via Mean Flows
arXiv CS.CV
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ArXi:2604.24586v1 Announce Type: new Single-image point cloud reconstruction must infer complete 3D geometry, including occluded parts, from a single RGB image. While diffusion-based reconstructors achieve high accuracy, they typically require many denoising iterations, resulting in slow and expensive inference. We propose Point-MF, a Mean-Flow-based framework for low-NFE single-image point cloud reconstruction that couples a Mean-Flow-compatible architecture with an auxiliary loss.