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Neural Surface Maps
[article]
2021
arXiv
pre-print
Maps are arguably one of the most fundamental concepts used to define and operate on manifold surfaces in differentiable geometry. Accordingly, in geometry processing, maps are ubiquitous and are used in many core applications, such as paramterization, shape analysis, remeshing, and deformation. Unfortunately, most computational representations of surface maps do not lend themselves to manipulation and optimization, usually entailing hard, discrete problems. While algorithms exist to solve
arXiv:2103.16942v1
fatcat:dhalu4zjbbgc5p7xvzlzeq3oj4