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Unsigned Distance Fields (UDFs) can be used to represent non-watertightsurfaces. However, current approaches to converting them into explicit meshestend to either be expensive or to degrade the accuracy. Here, we extend themarching cube algorithm to handle UDFs, both fast and accurately. Moreover, ourapproach to surface extraction is differentiable, which is key to usingpretrained UDF networks to fit sparse data.

MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks