3 accepted papers
Finding correspondences between 3D shapes is a crucial problem in computer vision and graphics. While most research has focused on finding correspondences in settings where at least one of the shapes is complete, the realm of partial-to-partial shape matching remains under-explored. Yet, it is impor…
Chirality information (i.e. information that allows distinguishing left from right) is ubiquitous for various data modes in computer vision, including images, videos, point clouds, and meshes. While chirality has been extensively studied in the image domain, its exploration in shape analysis (such a…
Although 3D shape matching and interpolation are highly interrelated they are often studied separately and applied sequentially to relate different 3D shapes thus resulting in sub-optimal performance. In this work we present a unified framework to predict both point-wise correspondences and shape in…