papers

Publications (7)

cs.CV2018

High-Quality Face Capture Using Anatomical Muscles

Michael Bao, Matthew Cong, Stéphane Grabli +1

Muscle-based systems have the potential to provide both anatomical accuracy and semantic interpretability as compared to blendshape models; however, a lack of expressivity and diff…

cs.CV2026

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

Matthew Cong, Francis Williams, Jonathan Swartz +3

Gaussian splatting methods have become increasingly popular for neural reconstruction of the real world. However, they are often limited in scale and resolution due to compute and…

cs.CV2025

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…

cs.GR2024

An Interface Tracking Method with Triangle Edge Cuts

Mengdi Wang, Matthew Cong, Bo Zhu

This paper introduces a volume-conserving interface tracking algorithm on unstructured triangle meshes. We propose to discretize the interface via triangle edge cuts which represen…

cs.RO2011

Inferring 3D Articulated Models for Box Packaging Robot

Heran Yang, Tiffany Low, Matthew Cong +1

Given a point cloud, we consider inferring kinematic models of 3D articulated objects such as boxes for the purpose of manipulating them. While previous work has shown how to extra…

cs.GR2024

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.CV2019

Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers

Matthew Cong, Lana Lan, Ronald Fedkiw

When considering sparse motion capture marker data, one typically struggles to balance its overfitting via a high dimensional blendshape system versus underfitting caused by smooth…