most citedLLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation

8 citations · 20 across the 4 of their papers we have counts for

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cs.CV2025

MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator

Xuehai He, Shijie Zhou, Thivyanth Venkateswaran +4

World models that support controllable and editable spatiotemporal environments are valuable for robotics, enabling scalable training data, repro ducible evaluation, and flexible t…

cs.CV2025

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models

Liqiang Jing, Guiming Hardy Chen, Ehsan Aghazadeh +2

Large Vision-Language Models (LVLMs) demonstrate remarkable capabilities in multimodal tasks, but visual object hallucination remains a persistent issue. It refers to scenarios whe…

cs.CV20241 cited

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Xuehai He, Weixi Feng, Kaizhi Zheng +11

Multimodal Language Language Models (MLLMs) demonstrate the emerging abilities of "world models" -- interpreting and reasoning about complex real-world dynamics. To assess these ab…

cs.CV20237 cited

Photoswap: Personalized Subject Swapping in Images

Jing Gu, Yilin Wang, Nanxuan Zhao +8

In an era where images and visual content dominate our digital landscape, the ability to manipulate and personalize these images has become a necessity. Envision seamlessly substit…

cs.CV20238 cited

LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation

Yujie Lu, Xianjun Yang, Xiujun Li +2

Existing automatic evaluation on text-to-image synthesis can only provide an image-text matching score, without considering the object-level compositionality, which results in poor…