Spatial Reasoning

1. Spatial Reasoning

SpatialVLM (Chen et al., 2024) Training VLMs on massive and diverse spatial reasoning dataset
Multimodal Visualization-of-Thought (MVoT) (Li et al., 2025) Enables visual thinking in MLLMs by generating image visualizations of their reasoning traces
Thinking in Space (Yang et al., 2025) Video-based visual-spatial intelligence benchmark (VSI-Bench)
LEGO-Puzzles (Tang et al., 2025) LEGO-Puzzles, a scalable benchmark designed to evaluate both spatial understanding and sequential reasoning in MLLMs through LEGO-based tasks
STI-Bench (Li et al., 2025) Spatial-Temporal Intelligence benchmark
vsGRPO-7B (Liao et al., 2025) Using VSI-100k and GRPO to train
PyVision (Zhao et al., 2025) Enables MLLMs to autonomously generate, execute, and refine Python-based tools
VILASR (Wu et al., 2025) VIsion-LAnguage model that achieves sophisticated Spatial Reasoning through interwoven thinking and visual drawing
Thinking with Generated Images (Chern et al., 2025) seeing with imagesā€ vs. ā€œthinking with imagesā€ vs. ā€œthinking with generated imagesā€

References

  1. Li, C., Wu, W., Zhang, H., Xia, Y., Mao, S., Dong, L., Vulić, I., and Wei, F. Imagine while Reasoning in Space: Multimodal Visualization-of-Thought. International Conference on Machine Learning (ICML), 2025.
  2. Liao, Z., Xie, Q., Zhang, Y., Kong, Z., Lu, H., Yang, Z., and Deng, Z. Improved Visual-Spatial Reasoning via R1-Zero-Like Training, 2025.
  3. Wu, J., Guan, J., Feng, K., Liu, Q., Wu, S., Wang, L., Wu, W., and Tan, T. Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing, 2025.
  4. Chen, B., Xu, Z., Kirmani, S., Ichter, B., Driess, D., Florence, P., Sadigh, D., Guibas, L. J., and Xia, F. SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  5. Li, Y., Zhang, Y., Lin, T., Liu, X., Cai, W., Liu, Z., and Zhao, B. STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?, 2025.
  6. Chern, E., Hu, Z., Chern, S., Kou, S., Su, J., Ma, Y., Deng, Z., and Liu, P. Thinking with Generated Images, 2025.
  7. Tang, K., Gao, J., Zeng, Y., Duan, H., Sun, Y., Xing, Z., Liu, W., Lyu, K., and Chen, K. LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?, 2025.
  8. Zhao, S., Zhang, H., Lin, S., Li, M., Wu, Q., Zhang, K., and Wei, C. PyVision: Agentic Vision with Dynamic Tooling, 2025.
  9. Yang, J., Yang, S., Gupta, A. W., Han, R., Fei-Fei, L., and Xie, S. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.