most citedNeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.GR2023

Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution

Hyojoon Park, Sangeetha Grama Srinivasan, Matthew Cong +5

We present a neural network-based simulation super-resolution framework that can efficiently and realistically enhance a facial performance produced by a low-cost, realtime physics…

cs.LG2022★ 8 cited

NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks

Doyub Kim, Minjae Lee, Ken Museth

We introduce NeuralVDB, which improves on an existing industry standard for efficient storage of sparse volumetric data, denoted VDB [Museth 2013], by leveraging recent advancement…