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PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation.
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
In this paper, we propose an effective inlier estimation method for unsupervised point cloud registration by capturing geometric structure consistency between the source point cloud and its corresponding reference point cloud copy.
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