NSF award 2543161 · University of North Carolina at Chapel Hill

CAREER: Inferring Physics from Images: Inverse Rendering and Simulation with Generative Priors

Final report due

28 September 2031

in 1,806 days · The award ends on 31 May 2031.

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Extension request16 Apr 2031in 1641 days
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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2031in 1676 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 May 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2031.

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Award card

Award number: 2543161
Period of support: 1 Jun 2026 – 31 May 2031
Amount: $549,996
Awardee: University of North Carolina at Chapel Hill, Chapel Hill, NC
Program: Robust Intelligence
Directorate: CSE

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…

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