Cover Image

STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yun, Zhang, Yiming, Lin, Tao, Liu, Xiangrui, Cai, Wenxiao, Liu, Zheng, Zhao, Bo
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

SpatialBot: Precise Spatial Understanding with Vision Language Models
by: Cai, Wenxiao, et al.
Published: (2024)

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
by: Yang, Liu, et al.
Published: (2025)

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees
by: Xu, Yichen, et al.
Published: (2026)

RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios
by: Zhang, Jun, et al.
Published: (2025)

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

StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
by: Lin, Junming, et al.
Published: (2024)

Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding
by: Liu, Xiangrui, et al.
Published: (2025)

Spatial Preference Rewarding for MLLMs Spatial Understanding
by: Qiu, Han, et al.
Published: (2025)

OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
by: Lin, Jingli, et al.
Published: (2025)

EventBench: Towards Comprehensive Benchmarking of Event-based MLLMs
by: Liu, Shaoyu, et al.
Published: (2025)

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
by: Yuan, Yuqian, et al.
Published: (2025)

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning
by: Wu, Tao, et al.
Published: (2025)

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding
by: Sun, Peiwen, et al.
Published: (2026)

SPARROW: Learning Spatial Precision and Temporal Referential Consistency in Pixel-Grounded Video MLLMs
by: Alansari, Mohamad, et al.
Published: (2026)

Unhackable Temporal Rewarding for Scalable Video MLLMs
by: Yu, En, et al.
Published: (2025)

VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification
by: Meng, Jiahao, et al.
Published: (2026)

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

3D Spatial Understanding in MLLMs: Disambiguation and Evaluation
by: Chang, Chun-Peng, et al.
Published: (2024)

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

Real-World Scene Recovery for Scattering-Degraded Images Using Spatial and Frequency Priors
by: Liu, Yun, et al.
Published: (2025)

SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
by: Wang, Siting, et al.
Published: (2025)

From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs
by: Wu, Mingrui, et al.
Published: (2025)

IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting
by: Zhang, Tao, et al.
Published: (2025)

PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension
by: Ouyang, Kun, et al.
Published: (2024)

TimeScope: Towards Task-Oriented Temporal Grounding In Long Videos
by: Liu, Xiangrui, et al.
Published: (2025)

SpatialTree: How Spatial Abilities Branch Out in MLLMs
by: Xiao, Yuxi, et al.
Published: (2025)

Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding
by: Lin, Tao, et al.
Published: (2025)

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning
by: Zhang, Bob, et al.
Published: (2025)

FunBench: Benchmarking Fundus Reading Skills of MLLMs
by: Wei, Qijie, et al.
Published: (2025)

Precise GPS-Denied UAV Self-Positioning via Context-Enhanced Cross-View Geo-Localization
by: Xu, Yuanze, et al.
Published: (2025)

SpaceMind++: Toward Allocentric Cognitive Maps for Spatially Grounded Video MLLMs
by: Gu, Bo, et al.
Published: (2026)

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
by: Ouyang, Kun, et al.
Published: (2025)

On the Generalization Capacities of MLLMs for Spatial Intelligence
by: Zhang, Gongjie, et al.
Published: (2026)

Universal Skeleton Understanding via Differentiable Rendering and MLLMs
by: Wang, Ziyi, et al.
Published: (2026)

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
by: Liu, Yexin, et al.
Published: (2024)

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

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
by: Liu, Zuyan, et al.
Published: (2024)

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

Visual Jigsaw Post-Training Improves MLLMs
by: Wu, Penghao, et al.
Published: (2025)

IllusionBench+: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models
by: Zhang, Yiming, et al.
Published: (2025)