Guardado en:
| Autores principales: | Shi, Mengqi, Zhang, Haopeng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.19223 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
por: Xie, Wulin, et al.
Publicado: (2025)
por: Xie, Wulin, et al.
Publicado: (2025)
MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understanding
por: Li, Zizhong, et al.
Publicado: (2026)
por: Li, Zizhong, et al.
Publicado: (2026)
Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding
por: Wang, Youze, et al.
Publicado: (2025)
por: Wang, Youze, et al.
Publicado: (2025)
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation
por: Zhao, Yue, et al.
Publicado: (2025)
por: Zhao, Yue, et al.
Publicado: (2025)
TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
por: Zhou, Xingcheng, et al.
Publicado: (2025)
por: Zhou, Xingcheng, et al.
Publicado: (2025)
ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning
por: Yashima, Daichi, et al.
Publicado: (2026)
por: Yashima, Daichi, et al.
Publicado: (2026)
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
por: Rasheed, Hanoona, et al.
Publicado: (2025)
por: Rasheed, Hanoona, et al.
Publicado: (2025)
FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding
por: Pereira, João, et al.
Publicado: (2026)
por: Pereira, João, et al.
Publicado: (2026)
H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding
por: Wu, Qi, et al.
Publicado: (2025)
por: Wu, Qi, et al.
Publicado: (2025)
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
por: Shao, Shitong, et al.
Publicado: (2026)
por: Shao, Shitong, et al.
Publicado: (2026)
HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation
por: Xiao, Yicheng, et al.
Publicado: (2025)
por: Xiao, Yicheng, et al.
Publicado: (2025)
Perception, Understanding and Reasoning, A Multimodal Benchmark for Video Fake News Detection
por: Yakun, Cui, et al.
Publicado: (2025)
por: Yakun, Cui, et al.
Publicado: (2025)
Video-Bench: Human-Aligned Video Generation Benchmark
por: Han, Hui, et al.
Publicado: (2025)
por: Han, Hui, et al.
Publicado: (2025)
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
por: Gao, Hongcheng, et al.
Publicado: (2025)
por: Gao, Hongcheng, et al.
Publicado: (2025)
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation
por: Wang, Zhanyu, et al.
Publicado: (2023)
por: Wang, Zhanyu, et al.
Publicado: (2023)
WebVR: Benchmarking Multimodal LLMs for WebPage Recreation from Videos via Human-Aligned Visual Rubrics
por: Dai, Yuhong, et al.
Publicado: (2026)
por: Dai, Yuhong, et al.
Publicado: (2026)
VideoVista: A Versatile Benchmark for Video Understanding and Reasoning
por: Li, Yunxin, et al.
Publicado: (2024)
por: Li, Yunxin, et al.
Publicado: (2024)
Omni-Video: Democratizing Unified Video Understanding and Generation
por: Tan, Zhiyu, et al.
Publicado: (2025)
por: Tan, Zhiyu, et al.
Publicado: (2025)
UniVideo: Unified Understanding, Generation, and Editing for Videos
por: Wei, Cong, et al.
Publicado: (2025)
por: Wei, Cong, et al.
Publicado: (2025)
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
por: Wu, Size, et al.
Publicado: (2025)
por: Wu, Size, et al.
Publicado: (2025)
PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction
por: Li, Chenggong, et al.
Publicado: (2026)
por: Li, Chenggong, et al.
Publicado: (2026)
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
por: Wang, Yi, et al.
Publicado: (2024)
por: Wang, Yi, et al.
Publicado: (2024)
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning
por: Hu, Shiyu, et al.
Publicado: (2024)
por: Hu, Shiyu, et al.
Publicado: (2024)
Unified Reward Model for Multimodal Understanding and Generation
por: Wang, Yibin, et al.
Publicado: (2025)
por: Wang, Yibin, et al.
Publicado: (2025)
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
por: Zhao, Shanshan, et al.
Publicado: (2025)
por: Zhao, Shanshan, et al.
Publicado: (2025)
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
por: Li, Haopeng, et al.
Publicado: (2024)
por: Li, Haopeng, et al.
Publicado: (2024)
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
por: Qian, Chengxuan, et al.
Publicado: (2025)
por: Qian, Chengxuan, et al.
Publicado: (2025)
RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
por: Zhang, Ruoxuan, et al.
Publicado: (2025)
por: Zhang, Ruoxuan, et al.
Publicado: (2025)
Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
por: Zhang, Zicheng, et al.
Publicado: (2024)
por: Zhang, Zicheng, et al.
Publicado: (2024)
VMBench: A Benchmark for Perception-Aligned Video Motion Generation
por: Ling, Xinran, et al.
Publicado: (2025)
por: Ling, Xinran, et al.
Publicado: (2025)
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
por: Lin, Yijing, et al.
Publicado: (2025)
por: Lin, Yijing, et al.
Publicado: (2025)
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
por: Tang, Zitian, et al.
Publicado: (2023)
por: Tang, Zitian, et al.
Publicado: (2023)
MotionCharacter: Fine-Grained Motion Controllable Human Video Generation
por: Fang, Haopeng, et al.
Publicado: (2024)
por: Fang, Haopeng, et al.
Publicado: (2024)
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding
por: Rahman, Tanzila, et al.
Publicado: (2026)
por: Rahman, Tanzila, et al.
Publicado: (2026)
CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models
por: Hao, Xiangzhao, et al.
Publicado: (2026)
por: Hao, Xiangzhao, et al.
Publicado: (2026)
UEval: A Benchmark for Unified Multimodal Generation
por: Li, Bo, et al.
Publicado: (2026)
por: Li, Bo, et al.
Publicado: (2026)
Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
por: Lu, Yanzuo, et al.
Publicado: (2025)
por: Lu, Yanzuo, et al.
Publicado: (2025)
UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
por: Ma, Lichen, et al.
Publicado: (2026)
por: Ma, Lichen, et al.
Publicado: (2026)
UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation
por: Li, Teng, et al.
Publicado: (2025)
por: Li, Teng, et al.
Publicado: (2025)
MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
por: Pan, Yaning, et al.
Publicado: (2025)
por: Pan, Yaning, et al.
Publicado: (2025)
Ejemplares similares
-
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
por: Xie, Wulin, et al.
Publicado: (2025) -
MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understanding
por: Li, Zizhong, et al.
Publicado: (2026) -
Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding
por: Wang, Youze, et al.
Publicado: (2025) -
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation
por: Zhao, Yue, et al.
Publicado: (2025) -
TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
por: Zhou, Xingcheng, et al.
Publicado: (2025)