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 (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,000 in funding to the University of Southern California (USC) for developing discretization-free geometry processing methods. The key products and services to be delivered under this 3-year award include: Novel computational techniques for animating computer graphics characters without the traditional discretization of their interior...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $570,102 to the University of Utah from September 1, 2022 to August 31, 2026. The award will support the development of methods to improve the interpretability and reliability of deep learning models for medical imaging applications. Specifically, the University of Utah researchers will develop a...
This $600,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research by the University of California, San Diego to advance the development of neural-network based implicit representations for 3D shape reconstruction and inverse rendering. The key products and services to be delivered include: Developing theoretical frameworks using topological derivatives and neural homotopy to enable level set...
This Project Grant from the National Science Foundation Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $228,592 to support research at the University of Virginia from June 1, 2023 through May 31, 2028. The award will fund the development of new deep neural network models, algorithms, and applications to enable the analysis of geometric shapes in images. Specifically, the principal...
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...
The National Science Foundation (NSF) awarded a $312,813 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to Florida State University (FSU) for the "4DSHAPE: 4D Human Shape Analysis and Synthesis" research project. This U.S.-French collaborative effort aims to develop advanced geometric deep learning models that can directly process raw 3D human body and facial scans to enable robust analysis, reconstruction, and generation of 3D shape...
This $1.2 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a geometry-aware and deep learning-based cyberinfrastructure for scalable modeling of solids and fluids at the University of California, Irvine from June 2022 to May 2025. The university will build a library of deep neural networks trained to solve single-physics...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enhance computer vision and object recognition capabilities. The $299,964 award, effective September 1, 2024 through August 31, 2027, supports research to develop deep learning frameworks that can better comprehend the configuration and relationships of object parts within images and 3D data. Key products and services to be delivered include:...
The University of California, San Diego will use a $500,000 project grant from the National Science Foundation to support research titled "SMALL: PHYSICALLY-BASED LEARNING FOR SHAPE, LIGHTING AND MATERIAL IN COMPLEX INDOOR SCENES" from October 1, 2021 through September 30, 2024. The grant is funded through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and...
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 simulation methods and deep neural networks to enable large-scale, complex nonlinear deformable simulations. By leveraging noise-free training data from digital simulations, the researchers will investigate using neural networks to extract intrinsic features and overcome challenges of high-dimensional integration for deformable objects. The goal is to establish data-driven methods for physics-based simulation that can accelerate computation for graphics applications like animation, virtual reality, and medical data analysis.