Project Grant 2238193

Award Date 7/1/23
Completion Date 6/30/28
Dollars Obligated $330K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
College Station, TX 77843, USA
Similar Awards
This three-year, $399,750 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), will support the development of programmable visual capabilities for 3D printed objects through light-transfer techniques. The grant recipient, Texas A&M Engineering Experiment Station (doing business as Tees), will conduct material experiments to characterize light-transfer...
The National Science Foundation Division of Computing and Communication Foundations awarded a $189,392 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support the development of a machine learning framework for robust computational imaging system design. Key products include new deep generative physical models to separate modeling of the physical imaging system from...
The University of California, San Diego will receive $800,000 from the National Science Foundation under the agency's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research titled "Differentiable Rendering for Computer Graphics" from July 2021 through June 2025. The project aims to advance the development of differentiable rendering techniques, which allow gradients of images to be backpropagated through the entire rendering process....
This Project Grant award, valued at $400,000, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award supports the development of innovative "snapshot computational imaging" systems that leverage recent advances in metaoptics, or optical devices using sub-wavelength nano-structures, to capture multidimensional information about light interactions with the world. The key objectives of...
This $150,902 National Science Foundation award under the Engineering (47.041) federal grant program will support research at Louisiana State University to develop single-pixel quantum statistical imaging technologies beyond the Abbe-Rayleigh resolution criterion. The award aims to demonstrate that optical instrument spatial resolution limitations can be overcome through measurements of quantum photon statistical properties, which are insensitive to diffraction. Researchers will prepare...
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...
The National Science Foundation awarded a $554,576 Project Grant to the Texas A&M Engineering Experiment Station (doing business as Tees) to support research titled "CAREER: PARTITIVE SOLID GEOMETRY FOR COMPUTER-AIDED DESIGN: PRINCIPLES, ALGORITHMS, WORKFLOWS, & APPLICATIONS" from August 1, 2021 through July 31, 2026. The grant is funded through the NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength by fostering innovation...
The National Science Foundation (NSF) awarded a Project Grant of $599,649 to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The goal of this 3-year project, which commenced on April 15, 2024, is to develop perception systems that can infer the 3D structure of generic objects or scenes from 2D images, even with partial observations. Key technical efforts will include formulating mechanisms for learning novel 3D generative...
The Texas A&M Engineering Experiment Station was awarded a $325,000 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). The three-year grant, awarded October 1, 2021 and set to be completed by September 30, 2024, will support research into developing low-complexity algorithms for unsourced multiple access and compressed sensing in large...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research and development at the University of California, San Diego (UCSD) to advance the field of inverse rendering of 3D shapes using neural implicit representations. The key products and services to be delivered under this 3-year award, which begins on September 1, 2024, include: Developing theoretical frameworks based on...

This five-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems and Computer and Information Science and Engineering program (CFDA 47.070) provides $330,293 to Texas A&M Engineering Experiment Station (doing business as Tees) to develop novel methods for sparse sampling and reconstruction in computer graphics rendering. The award seeks to dramatically reduce the number of photons required to generate high-quality images through importance sampling techniques that consider global path error and denoising systems adapted to each test image via optimization objectives that do not require ground truth data. By accelerating Monte Carlo rendering convergence, outcomes of this research could broadly impact applications in product design, architecture, autonomous vehicles and beyond that rely on such integration, while educational activities will engage diverse audiences in compelling computer graphics concepts.

Generated 1/6/24, 12:41 PM