This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of discretization-free methods for geometry processing and computer graphics at the University of Southern California (USC). The key products and services to be delivered include: New techniques for animating computer graphics characters that bypass the traditional discretization process. Discretization-free...
This four-year, $400,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of new neural material models for more realistic computer graphics at the University of California, San Diego. Specifically, the university researchers will build machine learning-based models to more accurately simulate the complex reflectance patterns of materials at fine scales, going beyond current parametric models. The neural...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $383,000 to the Texas A&M Engineering Experiment Station (Tees) to develop the first high-fidelity aerodynamic virtual human model. The key products and services include: Modeling the aerodynamic micro-environment consisting of airflow near the human face, simulating the interactions between the body, hair, clothing, and airflows, and developing...
This $1,200,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a new class of digital shape models capable of accurately representing deformable objects like animal bodies and human hands, even when their internal skeletal structures deviate from the norm. The research will create a universal deformable shape modeling framework that integrates data from 3D scans, images,...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $269,343 to the University of California, San Diego for research exploring geometric approaches to physical simulations. The award aims to develop new computational methods using non-Euclidean geometry to more accurately simulate turbulent fluids and solve partial differential equations on infinite...
This $312,813 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative U.S.-French research project titled "4DSHAPE: 4D Human Shape Analysis and Synthesis". The project aims to advance the state of geometric deep learning and its applications in areas like augmented and virtual reality. Key objectives include developing efficient deep learning architectures for invariant...
The University of California, Santa Barbara (UCSB) received a three-year, $124,971 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of new machine learning techniques and software tools for data-driven modeling, simulation, and design of soft materials with targeted properties. Specifically, UCSB will apply adversarial training methods and deep neural networks to...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research at the Massachusetts Institute of Technology (MIT) to develop discretization-free methods for processing geometric shapes and vector fields on computers. The key products and services to be delivered include: New techniques for animating computer graphics characters without the traditional step of discretizing the...
This Project Grant award for $490,402 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award, granted to Trustees of Dartmouth College, will develop new methods to model and simulate the interaction of light with materials that have both well-defined surfaces and volumetric properties, across different scales. This will enable accurate visualizations and simulations of complex materials in...