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Spatially and spectrally consistent deep functional maps
Cycle consistency has long been exploited as a powerful prior for jointly optimizing maps
within a collection of shapes. In this paper, we investigate its utility in the approaches of …
within a collection of shapes. In this paper, we investigate its utility in the approaches of …
Bijective upsampling and learned embedding for point clouds correspondences
In this paper, we present a novel pipeline to compute and refine a data-driven solution for
estimating the correspondence between 3D point clouds. Our method is compatible with the …
estimating the correspondence between 3D point clouds. Our method is compatible with the …