NSF award 2541773 · New York University

CAREER: Aligning Computational Efficiency and Human Perception in Visual Generative Models

Final report due

28 August 2031

in 1,775 days · The award ends on 30 April 2031.

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Decide about an extension31 Dec 2030in 1535 days
award ending 2031-04-30 · Research.gov
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Extension request16 Mar 2031in 1610 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Apr 2031in 1645 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Aug 2031in 1775 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Aug 2031in 1775 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Aug 2031in 1775 days
award ending 2031-04-30 · 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 30 April 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 August 2031.

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Award card

Award number: 2541773
Period of support: 15 May 2026 – 30 Apr 2031
Amount: $594,869
Awardee: New York University, NEW York, NY
Program: HCC-Human-Centered Computing
Directorate: CSE

Abstract

Recent advances in generative artificial intelligence (GenAI) have transformed the way digital images and videos are created, enabling the automated generation of highly realistic content. However, these powerful technologies require massive amounts of electricity and computer memory, leading to high operational costs and significant infrastructure requirements. While these systems consume vast resources, the human…

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