Kavli Affiliate: Matthew Fisher
| First 5 Authors: Sanghyun Son, Sanghyun Son, , ,
| Summary:
Recent probabilistic methods for 3D triangular meshes capture diverse shapes
by differentiable mesh connectivity, but face high computational costs with
increased shape details. We introduce a new differentiable mesh processing
method that addresses this challenge and efficiently handles meshes with
intricate structures. Our method reduces time complexity from O(N) to O(log N)
and requires significantly less memory than previous approaches. Building on
this innovation, we present a reconstruction algorithm capable of generating
complex 2D and 3D shapes from point clouds or multi-view images. Visit our
project page (https://sonsang.github.io/dmesh2-project) for source code and
supplementary material.
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