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20242026
most citedLMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

7 citations · 18 across the 50 of their papers we have counts for

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24 papers · 1 filter

cs.CV2025

Generative Human-Object Interaction Detection via Differentiable Cognitive Steering of Multi-modal LLMs

Zhaolin Cai, Huiyu Duan, Zitong Xu +6

Human-object interaction (HOI) detection aims to localize human-object pairs and the interactions between them. Existing methods operate under a closed-world assumption, treating t…

cs.CV2025

I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models

Juntong Wang, Jiarui Wang, Huiyu Duan +3

Image editing models are advancing rapidly, yet comprehensive evaluation remains a significant challenge. Existing image editing benchmarks generally suffer from limited task scope…

cs.CV2025

Life-IQA: Boosting Blind Image Quality Assessment through GCN-enhanced Layer Interaction and MoE-based Feature Decoupling

Long Tang, Guoquan Zhen, Jie Hao +4

Blind image quality assessment (BIQA) plays a crucial role in evaluating and optimizing visual experience. Most existing BIQA approaches fuse shallow and deep features extracted fr…

cs.CV2025

GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal Models

Yushuo Zheng, Jiangyong Ying, Huiyu Duan +5

Large multimodal models (LMMs) have demonstrated remarkable capabilities across a wide range of tasks, however their knowledge and abilities in the cross-view geo-localization and…

cs.CV2025

ManipShield: A Unified Framework for Image Manipulation Detection, Localization and Explanation

Zitong Xu, Huiyu Duan, Xiaoyu Wang +6

With the rapid advancement of generative models, powerful image editing methods now enable diverse and highly realistic image manipulations that far surpass traditional deepfake te…

cs.AI2025

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition

Yushuo Zheng, Zicheng Zhang, Tongrui Ye +3

Existing benchmarks for large multimodal models (LMMs) often fail to capture their performance in real-time, adversarial environments. We introduce LM Fight Arena (Large Model Figh…