4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.GR2019★ 4 cited
Dynamic Upsampling of Smoke through Dictionary-based Learning
Kai Bai, Wei Li, Mathieu Desbrun +1
Simulating turbulent smoke flows is computationally intensive due to their intrinsic multiscale behavior, thus requiring relatively high resolution grids to fully capture their com…
cs.LG2018
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach
Max Budninskiy, Glorian Yin, Leman Feng +2
Manifold learning offers nonlinear dimensionality reduction of high-dimensional datasets. In this paper, we bring geometry processing to bear on manifold learning by introducing a…