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20202026
most citedCommonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

14 citations · 27 across the 18 of their papers we have counts for

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2 papers · 1 filter

cs.CV2025

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs

Xingyu Fu, Siyi Liu, Yinuo Xu +13

Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have advanced rapidly, a critical dimension -- whether humans can detect…

cs.CV2025

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding

Xingyu Fu, Minqian Liu, Zhengyuan Yang +6

Structured image understanding, such as interpreting tables and charts, requires strategically refocusing across various structures and texts within an image, forming a reasoning s…