110 citations · 170 across the 10 of their papers we have counts for
11 papers
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
Francis Williams, Jiahui Huang, Jonathan Swartz +9
We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data. fVDB provides a complete set of differentiable primitives to build deep learning architec…
NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation
Yifei Li, Yuchen Sun, Pingchuan Ma +4
We present a novel framework to explore neural control and design of complex fluidic systems with dynamic solid boundaries. Our system features a fast differentiable Navier-Stokes…
Learning a Generalized Physical Face Model From Data
Lingchen Yang, Gaspard Zoss, Prashanth Chandran +4
Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-colli…
An Implicit Physical Face Model Driven by Expression and Style
Lingchen Yang, Gaspard Zoss, Prashanth Chandran +5
3D facial animation is often produced by manipulating facial deformation models (or rigs), that are traditionally parameterized by expression controls. A key component that is usua…
A Symmetric Multigrid-Preconditioned Krylov Subspace Solver for Stokes Equations
Yutian Tao, Eftychios Sifakis
Numerical solution of discrete PDEs corresponding to saddle point problems is highly relevant to physical systems such as Stokes flow. However, scaling up numerical solvers for suc…
Fast Sparse 3D Convolution Network with VDB
Fangjun Zhou, Anyong Mao, Eftychios Sifakis
We proposed a new Convolution Neural Network implementation optimized for sparse 3D data inference. This implementation uses NanoVDB as the data structure to store the sparse tenso…
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…
Fluidic Topology Optimization with an Anisotropic Mixture Model
Yifei Li, Tao Du, Sangeetha Grama Srinivasan +4
Fluidic devices are crucial components in many industrial applications involving fluid mechanics. Computational design of a high-performance fluidic system faces multifaceted chall…
Differentiable Implicit Soft-Body Physics
Junior Rojas, Eftychios Sifakis, Ladislav Kavan
We present a differentiable soft-body physics simulator that can be composed with neural networks as a differentiable layer. In contrast to other differentiable physics approaches…
Real-time Non-line-of-Sight imaging of dynamic scenes
Ji Hyun Nam, Eric Brandt, Sebastian Bauer +3
Non-Line-of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight. In the past, this method has suffered from the weak av…
Optimized Processing of Localized Collisions in Projective Dynamics
Qisi Wang, Yutian Tao, Eric Brandt +2
We present a method for the efficient processing of contact and collision in volumetric elastic models simulated using the Projective Dynamics paradigm. Our approach enables intera…