48 citations · 74 across the 5 of their papers we have counts for
4 papers · 1 filter
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
David Palmer, Dmitriy Smirnov, Stephanie Wang +2
Recent techniques have been successful in reconstructing surfaces as level sets of learned functions (such as signed distance fields) parameterized by deep neural networks. Many of…
Sum-of-Squares Geometry Processing
Zoë Marschner, Paul Zhang, David Palmer +1
Geometry processing presents a variety of difficult numerical problems, each seeming to require its own tailored solution. This breadth is largely due to the expansive list of geom…
Frame Field Operators
David R. Palmer, Oded Stein, Justin Solomon
Differential operators are widely used in geometry processing for problem domains like spectral shape analysis, data interpolation, parametrization and mapping, and meshing. In add…
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming
David Wu, David R. Palmer, Daryl R. Deford
We present a convex cone program to infer the latent probability matrix of a random dot product graph (RDPG). The optimization problem maximizes the Bernoulli maximum likelihood fu…