Multimodal Spatial Reasoning

Latest papers

42 papers6 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Exploring Spatial Intelligence from a Generative Perspective
Apr 22, 2026Muzhi Zhu, Shunyao Jiang, Huanyi Zheng +9Spatial Reasoning Unified Multimodal Models
Zhejiang University, State Key Laboratory of CAD & CG · Ant Group · Zhejiang University of Technology +1
SpatialImaginer: Towards Adaptive Visual Imagination for Spatial Reasoning
Apr 19, 2026Yian Li, Yang Jiao, Bin Zhu +4Multimodal CoT Reasoning Unified Multimodal Models
College of Computer Science and Artificial Intelligence, Fudan University · School of Computing and Information Systems, Singapore Management University · School of Computer Science and Technology, East China Normal University +2
Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
Apr 17, 2026Sai Srinivas Kancheti, Aditya Sanjiv Kanade, Vineeth N. Balasubramanian +1Multimodal Model Evaluation Visual Spatial Reasoning
IIT, Hyderabad · Microsoft Research India
EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs
Apr 1, 2026Zhenghao Chen, Huiqun Wang, Di HuangSpatial Reasoning in Language Models Multimodal Spatial Reasoning
State Key Laboratory of Complex and Critical Software Environment, Beihang University · School of Computer Science and Engineering, Beihang University
Learning Multi-View Spatial Reasoning from Cross-View Relations
Mar 30, 2026Suchae Jeong, Jaehwi Song, Haeone Lee +9Multimodal Spatial Reasoning Visual Spatial Reasoning
KAIST · Config · Hanyang University +2
Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps
Mar 24, 2026Chanyoung Gwak, Yoonwoo Jeong, Byungwoo Jeon +3Multimodal Spatial Reasoning 3D Spatial Reasoning
POSTECH · KAIST · RLWRLD
ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
Mar 24, 2026Ao Cheng, Xingming Li, Xuanyu Ji +5Multimodal Spatial Reasoning Maritime Navigation
National University of Defense Technology · Intelligent Game and Decision Lab · The Chinese University of Hong Kong, Shenzhen
World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
Mar 10, 2026Shouwei Ruan, Bin Wang, Zhenyu Wu +4Spatial Reasoning 3D Spatial Reasoning
Institute of Artificial Intelligence, Beihang University · Huawei Noah’s Ark Lab · Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University
3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
Mar 8, 2026Shaoxiong Zhan, Yanlin Lai, Zheng Liu +6Visual Spatial Reasoning Spatial Reasoning in Language Models
Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · School of Software Engineering, Chongqing University, Chongqing, China
EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery
Feb 17, 2026Zelin Xu, Yupu Zhang, Saugat Adhikari +6Spatial Reasoning Benchmarks Geospatial Reasoning Benchmarks
Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL, USA · Department of Computer Science, Indiana University Bloomington, Bloomington, IN, USA.
SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards
Nov 10, 2025Hunar Batra, Haoqin Tu, Hardy Chen +3Multimodal Understanding Scene Graph Generation
University of Oxford · University of California, Santa Cruz
Position: Reasoning After Perception Means Reasoning Without Vision
Jul 21, 2025Hongcheng Gao, Zihao Huang, Jingyi Tang +12Multimodal Understanding Visual Reasoning
Tsinghua University · BIT · Peking University +6

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Exploring Spatial Intelligence from a Generative Perspective

Muzhi Zhu, Shunyao Jiang, Huanyi Zheng, Zekai Luo+8

Zhejiang University, State Key Laboratory of CAD & CG · Ant Group · Zhejiang University of Technology+1

Spatial Reasoning Unified Multimodal Models 3D Spatial Reasoning Spatial Reasoning Benchmarks Multimodal Foundation Models Image Editing+2

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Spatial intelligence is essential for multimodal large language models, yet current benchmarks largely assess it only from an understanding perspective. We ask whether modern generative or unified multimodal models also possess generative spatial intelligence (GSI), the ability to respect and manipulate 3D spatial constraints during image generation, and whether such capability can be measured or improved. We introduce GSI-Bench, the first benchmark designed to quantify GSI through spatially grounded image editing. It consists of two complementary components: GSI-Real, a high-quality real-world dataset built via a 3D-prior-guided generation and filtering pipeline, and GSI-Syn, a large-scale synthetic benchmark with controllable spatial operations and fully automated labeling. Together with a unified evaluation protocol, GSI-Bench enables scalable, model-agnostic assessment of spatial compliance and editing fidelity. Experiments show that fine-tuning unified multimodal models on GSI-Syn yields substantial gains on both synthetic and real tasks and, strikingly, also improves downstream spatial understanding. This provides the first clear evidence that generative training can tangibly strengthen spatial reasoning, establishing a new pathway for advancing spatial intelligence in multimodal models.