Cover Image

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Mengdi, Qi, Zekun, Zhang, Shaochen, Zhang, Wenyao, Yu, Xinqiang, He, Jiawei, Wang, He, Yi, Li
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DexVLG: Dexterous Vision-Language-Grasp Model at Scale
by: He, Jiawei, et al.
Published: (2025)

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
by: Zhang, Wenyao, et al.
Published: (2025)

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
by: Qi, Zekun, et al.
Published: (2025)

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
by: Stogiannidis, Ilias, et al.
Published: (2025)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
by: Deng, Nianchen, et al.
Published: (2025)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
by: Li, Hongxing, et al.
Published: (2025)

VULCA-Bench: A Multicultural Vision-Language Benchmark for Evaluating Cultural Understanding
by: Yu, Haorui, et al.
Published: (2026)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning
by: Tang, Yihong, et al.
Published: (2024)

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
by: Zhang, Wenyao, et al.
Published: (2025)

Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models
by: Huang, Xinmiao, et al.
Published: (2025)

OmniBench: Towards The Future of Universal Omni-Language Models
by: Li, Yizhi, et al.
Published: (2024)

Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models
by: Rajabi, Navid, et al.
Published: (2023)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
by: Chen, Boyuan, et al.
Published: (2024)

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
by: Zhu, Kangyu, et al.
Published: (2025)

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
by: Liao, Yuan-Hong, et al.
Published: (2024)

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
by: Li, Chengzu, et al.
Published: (2024)

Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
by: Zhu, Yingjie, et al.
Published: (2025)

SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
by: Guo, Xianda, et al.
Published: (2024)

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
by: Shen, Yifan, et al.
Published: (2025)

Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
by: Zhao, Bowen, et al.
Published: (2024)

STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)

CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations
by: Gao, Huan-ang, et al.
Published: (2025)

ViewSpatial-Bench: Evaluating Multi-perspective Spatial Localization in Vision-Language Models
by: Li, Dingming, et al.
Published: (2025)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
by: Du, Mengfei, et al.
Published: (2024)

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
by: Ma, Chuang, et al.
Published: (2026)

Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial Reasoning
by: He, Jixuan, et al.
Published: (2026)

Is Extending Modality The Right Path Towards Omni-Modality?
by: Zhu, Tinghui, et al.
Published: (2025)

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
by: Zhu, Yingjie, et al.
Published: (2024)

LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos
by: Geng, Tiantian, et al.
Published: (2024)

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
by: Zhang, Jianshu, et al.
Published: (2026)

Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
by: Zhan, Xiaoyu, et al.
Published: (2025)

End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
by: Goetting, Dylan, et al.
Published: (2024)

Investigating Spatial Attention Bias in Vision-Language Models
by: Chaudhary, Aryan, et al.
Published: (2025)

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
by: Zhan, Shaoxiong, et al.
Published: (2026)

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
by: He, Xingwei, et al.
Published: (2024)

Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
by: Ma, Ziyang, et al.
Published: (2025)

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models
by: Wang, Zekun, et al.
Published: (2025)

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models
by: Zhang, Jiahuan, et al.
Published: (2025)

CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
by: Pothiraj, Atin, et al.
Published: (2025)

Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks
by: Lian, Shijie, et al.
Published: (2025)