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NICP: Neural ICP for 3D Human Registration at Scale
April 2, 2024, 7:49 p.m. | Riccardo Marin, Enric Corona, Gerard Pons-Moll
cs.CV updates on arXiv.org arxiv.org
Abstract: Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks like animation, reconstruction, and enabling supervised learning pipelines. Recent data-driven methods leverage predicted surface correspondences; however, they are not robust to varied poses, identities, or noise. In contrast, industrial solutions often rely on expensive manual annotations or multi-view capturing systems. Recently, neural fields have shown promising results. Still, their purely data-driven and extrinsic nature does not incorporate any guidance toward …
abstract animation arxiv contrast cs.cv data data-driven enabling however human industrial noise pipelines registration robust scale solutions supervised learning surface tasks template type
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