SpaceR: Reinforcing MLLMs in Video Spatial Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ouyang, Kun, Liu, Yuanxin, Wu, Haoning, Liu, Yi, Zhou, Hao, Zhou, Jie, Meng, Fandong, Sun, Xu
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

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

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

Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
by: Ouyang, Kun, et al.
Published: (2025)

Video-R1: Reinforcing Video Reasoning in MLLMs
by: Feng, Kaituo, et al.
Published: (2025)

Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
by: Xu, Zhiyu, et al.
Published: (2026)

UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
by: Liu, Yuanxin, et al.
Published: (2025)

Touch-R1: Reinforcing Touch Reasoning in MLLMs
by: Lai, Yingxin, et al.
Published: (2026)

VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
by: Wang, Qi, et al.
Published: (2025)

SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
by: Fan, Kaixuan, et al.
Published: (2025)

Continuous Visual Autoregressive Generation via Score Maximization
by: Shao, Chenze, et al.
Published: (2025)

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking
by: Meng, Desen, et al.
Published: (2025)

ArrowGEV: Grounding Events in Video via Learning the Arrow of Time
by: Yu, Fangxu, et al.
Published: (2026)

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

SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization
by: Wang, Peiyao, et al.
Published: (2025)

LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models
by: Liu, Juntao, et al.
Published: (2025)

Generative Frame Sampler for Long Video Understanding
by: Yao, Linli, et al.
Published: (2025)

Explore the Hallucination on Low-level Perception for MLLMs
by: Sun, Yinan, et al.
Published: (2024)

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs
by: Wang, Haicheng, et al.
Published: (2026)

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models
by: Wei, Yuancheng, et al.
Published: (2026)

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

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

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

Exploring the Design Space of Visual Context Representation in Video MLLMs
by: Du, Yifan, et al.
Published: (2024)

Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
by: Liu, Ming, et al.
Published: (2026)

Temporal Reasoning Transfer from Text to Video
by: Li, Lei, et al.
Published: (2024)

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
by: Xu, Xiaogang, et al.
Published: (2024)

Low-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm
by: Xu, Xiaogang, 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)

ViSS-R1: Self-Supervised Reinforcement Video Reasoning
by: Fang, Bo, et al.
Published: (2025)

TempCompass: Do Video LLMs Really Understand Videos?
by: Liu, Yuanxin, et al.
Published: (2024)

MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation
by: Chen, Wenchao, et al.
Published: (2024)

D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
by: Wang, Panpan, et al.
Published: (2025)

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?
by: Zhu, Jie, et al.
Published: (2026)

Reinforcing Consistency in Video MLLMs with Structured Rewards
by: Quan, Yihao, et al.
Published: (2026)

Spatial-Conditioned Reasoning in Long-Egocentric Videos
by: Tribble, James, et al.
Published: (2026)

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

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
by: Sun, Peiwen, et al.
Published: (2025)

When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?
by: Ye, Qilang, et al.
Published: (2025)

TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
by: Li, Shicheng, et al.
Published: (2025)

M2-Reasoning: Empowering MLLMs with Unified General and Spatial Reasoning
by: AI, Inclusion, et al.
Published: (2025)