Project Grant 2519772
- This federal Project Grant award from the National Science Foundation (CFDA 47.070 Computer and Information Science and Engineering) to Brown University provides $186,617 to develop new design tools that combine artificial intelligence (AI) with traditional design algorithms and principles. The goal is to address the challenges of nurturing creative design abilities while also enabling analytical evaluation and optimization of product functionality and manufacturing. The key products to be...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, will enable a REU (Research Experiences for Undergraduates) site at Brown University focused on artificial intelligence for computational creativity. The $364,562 award, with a project duration from June 2025 to May 2028, will provide undergraduate students the opportunity to participate in interdisciplinary research on AI-driven creative...
- 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...
- This National Science Foundation (NSF) Division of Information and Intelligent Systems (CFDA #47.070) $1,034,326 Project Grant awarded to Brown University supports collaborative research to bridge the semantic-metric gap in multinocular 3D vision systems. The project aims to address key technical challenges in 3D computer vision, such as handling blurry/textureless images, leveraging redundant image data, and connecting geometric point clouds to semantic scene representations. The research...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Trustees of Princeton University for the "CIRC: Infrastructure for Large-Scale Procedural Generation of Photorealistic 3D Data" project. This 2-year planning project aims to develop INFINIGEN, an open-source software program that can procedurally generate an infinite number of realistic-looking 3D scenes and annotated images...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA #47.070 Computer and Information Science and Engineering) supports research to explore automatically converting freehand design drawings into parametric CAD models. The $599,999 award to Brown University will develop a system to translate from the visual language of drawing to the formal language of computer-aided design (CAD) software. This technology aims to increase the...
- This $479,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop algorithms and interfaces that enable easier and more effective 3D modeling, even without visual cues. The key objectives are to create: 1) accurate "in-air" 3D drawing tools, 2) sonification techniques for non-visual shape perception and editing, and 3) verbal 3D shape editing tools and interactions. This...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to Brown University from July 1, 2025 to June 30, 2028 to develop resource-efficient techniques that integrate transformer- and convolution-based machine learning architectures with low-rank decomposition for embedding advanced machine learning capabilities into augmented reality (AR) devices. The project aims to reduce the...
- 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 at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded $600,000.00 to the Rector & Visitors of the University of Virginia (CFDA #47.070) for the project "RI:SMALL:CONSTRAINED GENERATIVE MODELS FOR SCIENTIFIC AND ENGINEERING APPLICATIONS". This 3-year project, with an award date of October 1, 2025 and a completion date of September 30, 2028, aims to develop AI tools that integrate physical principles and safety...
This Project Grant award for $477,651 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Brown University. The research project aims to develop a new class of machine learning models that can generate 3D assets from text descriptions. The models will produce computer programs that generate 3D objects with meaningful structure and parameters, allowing users to modify the output 3D assets. The researchers will leverage large language models to propose procedural abstractions for modeling the part structure of 3D objects, which will then be refined to reconstruct 3D assets accurately. This research has the potential to make 3D asset creation more accessible to users across various fields, including computer vision, robotics, mixed reality, and gaming. The award period runs from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $477.7k | 7/30/25 |