CAREER: Inferring Physics from Images: Inverse Rendering and Simulation with Generative Pr — NSF Award to University of North Caro
This project aims to teach computers how to understand the physical properties of the world from images and videos. When humans look at a video, they intuitively understand how light reflects off surfaces and how objects move under force. However, artificial intelligence systems struggle to understand these physical ru
| Award title | CAREER: Inferring Physics from Images: Inverse Rendering and Simulation with Generative Pr |
|---|---|
| Award ID | 2543161 |
| Awardee | University of North Carolina at Chapel Hill |
| City | CHAPEL HILL |
| State | NC |
| Amount obligated | $328,476 |
| Principal investigator | Roni Sengupta |
| Program | Robust Intelligence |
| Start date | 06/01/2026 |
| Abstract | This project aims to teach computers how to understand the physical properties of the world from images and videos. When humans look at a video, they intuitively understand how light reflects off surfaces and how objects move under force. However, artificial intelligence systems struggle to understand these physical rules. This project supports the development of new computer vision systems that can automatically figure out an object's three-dimensional shape, what it is made of, how it reacts t |
| Source | NSF Awards |
$799/mo
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