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Point-MF: Stabilizing One-Step Mean Flows for Single-Image Point Cloud Reconstruction
Single-image point cloud reconstruction requires recovering complete object-level geometry, including occluded regions, from a single RGB image. Diffusion- and flow-based reconstructors can model this ambiguity, but their iterative sampling requires many network function evaluations, while naive one
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