Cover Image

HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Ting, Chen, Daoyuan, Jiao, Qirui, Ding, Bolin, Li, Yaliang, Shen, Ying
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information
by: Jiao, Qirui, et al.
Published: (2024)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models
by: Jiao, Qirui, et al.
Published: (2024)

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

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
by: Jiao, Qirui, et al.
Published: (2025)

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models
by: Huang, Ziqi, et al.
Published: (2024)

MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
by: Xu, Zhe, et al.
Published: (2025)

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

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
by: Zheng, Dian, et al.
Published: (2025)

UniVBench: Towards Unified Evaluation for Video Foundation Models
by: Wei, Jianhui, et al.
Published: (2026)

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation
by: Zhu, Lei, et al.
Published: (2026)

Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
by: Chen, Daoyuan, et al.
Published: (2024)

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
by: Li, Keliang, et al.
Published: (2025)

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
by: Zhu, Muzhi, et al.
Published: (2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation
by: Li, Zhiwen, et al.
Published: (2025)

HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding
by: Zhao, Jiaxing, et al.
Published: (2025)

LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding
by: Han, ZhaoYang, et al.
Published: (2025)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction
by: Duan, Zhongjie, et al.
Published: (2024)

Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs
by: Huang, Jen-Tse, et al.
Published: (2025)

3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression
by: Xing, Yuke, et al.
Published: (2025)

E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
by: Liu, Xianjie, et al.
Published: (2026)

VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering
by: Li, Yuyi, et al.
Published: (2025)

VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
by: Liu, Yuanxin, et al.
Published: (2025)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
by: Qin, Zhen, et al.
Published: (2024)

EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMs
by: Dai, Yang, et al.
Published: (2026)

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
by: Zhang, Zixin, et al.
Published: (2025)

Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
by: Liu, Yuansen, et al.
Published: (2025)

EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
by: He, Yuping, et al.
Published: (2025)

Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs
by: Zhang, Gengyuan, et al.
Published: (2025)

ActionArt: Advancing Multimodal Large Models for Fine-Grained Human-Centric Video Understanding
by: Peng, Yi-Xing, et al.
Published: (2025)

Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
by: Kizil, Muhammed Burak, et al.
Published: (2026)

Video-MSR: Benchmarking Multi-hop Spatial Reasoning Capabilities of MLLMs
by: Zhu, Rui, et al.
Published: (2026)

Do MLLMs Exhibit Human-like Perceptual Behaviors? HVSBench: A Benchmark for MLLM Alignment with Human Perceptual Behavior
by: Lin, Jiaying, et al.
Published: (2024)

HumanScore: Benchmarking Human Motions in Generated Videos
by: Fang, Yusu, et al.
Published: (2026)

OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
by: Li, Hui, et al.
Published: (2024)

ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
by: Wang, Youqi, et al.
Published: (2026)

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs
by: Zhu, Xiaorong, et al.
Published: (2025)

MotionLLM: Understanding Human Behaviors from Human Motions and Videos
by: Chen, Ling-Hao, et al.
Published: (2024)

HighlightMe: Detecting Highlights from Human-Centric Videos
by: Bhattacharya, Uttaran, et al.
Published: (2021)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models
by: Chen, Die, et al.
Published: (2025)

Llama Learns to Direct: DirectorLLM for Human-Centric Video Generation
by: Song, Kunpeng, et al.
Published: (2024)