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Talent Scout
H
Huizhi Liang
Tsinghua University
Y
Yichao Shen
Xi’an Jiaotong University
Y
Yu Deng
Microsoft Research Asia
S
Sicheng Xu
Microsoft Research Asia
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Founder's Pitch
"HiSpatial provides state-of-the-art 3D spatial intelligence for vision-language models, suitable for enhancing autonomous systems and smart environments."
Commercial Viability Breakdown
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Why It Matters
This research addresses the gap in 3D spatial intelligence in Vision-Language Models (VLMs), crucial for applications requiring understanding of 3D environments, like autonomous vehicles and augmented reality.
Product Angle
HiSpatial can be developed into an SDK or API for developers in fields like robotics, AR, and smart home systems, where understanding spatial dynamics is critical.
Disruption
By enhancing VLMs with spatial understanding, this replaces current limited approaches in AR applications, autonomous systems, and robotics that lack deep spatial reasoning.
Product Opportunity
The market for 3D spatial understanding tools is expanding, driven by the need for advanced perception in robotics, AR, automotive, and IoT devices. Companies in these sectors would benefit from paying for improved spatial intelligence capabilities.
Use Case Idea
Integrate HiSpatial's 3D spatial understanding features into augmented reality apps to enable immersive and interactive experiences based on spatial recognition.
Science
The approach involves decomposing 3D spatial understanding in VLMs into a hierarchy of tasks from basic geometric perception to complex spatial reasoning, and enhances VLMs with automated pipelines generating diverse 3D spatial question-answer pairs.
Method & Eval
The HiSpatial model was trained on a large dataset of 5M images and validated against benchmarks, achieving state-of-the-art results surpassing models like Gemini-2.5-pro and GPT-5.
Caveats
The model's performance may be limited in highly dynamic environments or when depth and spatial relations are exceedingly complex. Integration with existing systems may require additional calibration efforts.
Author Intelligence
Huizhi Liang
Tsinghua University
Yichao Shen
Xi’an Jiaotong University
Yu Deng
Microsoft Research Asia
Sicheng Xu
Microsoft Research Asia
Zhiyuan Feng
Tsinghua University
Tong Zhang
University of the Chinese Academy of Sciences
Yaobo Liang
Microsoft Research Asia
Jiaolong Yang
Microsoft Research Asia