Cover Image

Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuansen, Tang, Haiming, Peng, Jinlong, Zhang, Jiangning, Ji, Xiaozhong, He, Qingdong, Wu, Wenbin, Luo, Donghao, Gan, Zhenye, Zhu, Junwei, Shen, Yunhang, Fu, Chaoyou, Wang, Chengjie, Hu, Xiaobin, Yan, Shuicheng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HumanVideo-MME: Benchmarking MLLMs for Human-Centric Video Understanding
by: Cai, Yuxuan, et al.
Published: (2025)

Soul: Breathe Life into Digital Human for High-fidelity Long-term Multimodal Animation
by: Zhang, Jiangning, et al.
Published: (2025)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
by: Fu, Chaoyou, et al.
Published: (2023)

TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement
by: Sun, Haiyue, et al.
Published: (2025)

VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
by: Xiaobin, Hu, et al.
Published: (2025)

Sonic: Shifting Focus to Global Audio Perception in Portrait Animation
by: Ji, Xiaozhong, et al.
Published: (2024)

Transform Trained Transformer: Accelerating Naive 4K Video Generation Over 10$\times$
by: Zhang, Jiangning, et al.
Published: (2025)

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
by: Hu, Xiaobin, et al.
Published: (2024)

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
by: Gan, Ziliang, et al.
Published: (2024)

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
by: Jiang, Boyuan, et al.
Published: (2024)

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
by: Gong, Haozhen, et al.
Published: (2025)

IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment
by: Chen, Yinan, et al.
Published: (2025)

Boosting Reasoning in Large Multimodal Models via Activation Replay
by: Xing, Yun, et al.
Published: (2025)

Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
by: He, Qingdong, et al.
Published: (2025)

The devil is in the details: Enhancing Video Virtual Try-On via Keyframe-Driven Details Injection
by: He, Qingdong, et al.
Published: (2025)

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models
by: He, Qingdong, et al.
Published: (2024)

MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
by: Xie, Wulin, et al.
Published: (2025)

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2024)

DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation
by: He, Qingdong, et al.
Published: (2024)

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
by: He, Qingdong, et al.
Published: (2024)

RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network
by: Ji, Xiaozhong, et al.
Published: (2024)

Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning
by: Shen, Ruolin, et al.
Published: (2025)

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
by: Jiang, Dongzhi, et al.
Published: (2025)

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
by: Fu, Chaoyou, et al.
Published: (2026)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
by: Zhang, Yi-Fan, et al.
Published: (2024)

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs
by: Yuan, Jiakang, et al.
Published: (2025)

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
by: Zhang, Fan, et al.
Published: (2025)

A Survey on Benchmarks of Multimodal Large Language Models
by: Li, Jian, et al.
Published: (2024)

Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
by: Xu, Pengcheng, et al.
Published: (2024)

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
by: Fu, Chaoyou, et al.
Published: (2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
by: Fu, Chaoyou, et al.
Published: (2024)

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024)

DMAD: Dual Memory Bank for Real-World Anomaly Detection
by: Hu, Jianlong, et al.
Published: (2024)

Towards Generalized Multi-Image Editing for Unified Multimodal Models
by: Xu, Pengcheng, et al.
Published: (2026)

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
by: He, Qingdong, et al.
Published: (2024)

ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model
by: Xu, Chengming, et al.
Published: (2024)

CustAny: Customizing Anything from A Single Example
by: Kong, Lingjie, et al.
Published: (2024)

Data Augmentation in Human-Centric Vision
by: Jiang, Wentao, et al.
Published: (2024)

Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?
by: Wei, Qianshan, et al.
Published: (2026)

HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding
by: Li, Keliang, et al.
Published: (2024)