yuhangzang/Spatial-SSRL

Space

🌍 Spatial-SSRL: Spatial Reasoning with Vision-Language Models

20

8 commits

1 linked in READMEs

updated Nov 3, 2025

See the code

README

🌍 Spatial-SSRL: Spatial Reasoning with Vision-Language Models

This demo showcases the spatial reasoning capabilities of vision-language models trained to understand 3D spatial relationships from 2D images.

Features

  • 3D Location Understanding: Determine which objects are closer or further from the camera
  • Orientation Analysis: Understand which direction objects are facing
  • Relative Positioning: Answer questions about object positions relative to each other
  • Step-by-step Reasoning: The model provides detailed reasoning before answering

How to Use

  1. Upload an image
  2. Ask a question about spatial relationships in the image
  3. The model will provide a detailed answer with reasoning

Example Questions

  • "Which object is further away from the camera? A. boat B. fire hydrant"
  • "Are the kid and the teddy bear facing same or similar directions?"
  • "If I stand at the recreational vehicle's position facing where it is facing, is the dog in front of me or behind me?"

The model is trained to provide answers in a structured format with reasoning enclosed in <think> tags and final answers in \boxed{}.

gradio

Contributors

YU
yuhangzang

7 commits

CL
Claude

1 commits

yuhangzang/Spatial-SSRL

Space

🌍 Spatial-SSRL: Spatial Reasoning with Vision-Language Models

20

8 commits

1 linked in READMEs

updated Nov 3, 2025

See the code

README

🌍 Spatial-SSRL: Spatial Reasoning with Vision-Language Models

This demo showcases the spatial reasoning capabilities of vision-language models trained to understand 3D spatial relationships from 2D images.

Features

  • 3D Location Understanding: Determine which objects are closer or further from the camera
  • Orientation Analysis: Understand which direction objects are facing
  • Relative Positioning: Answer questions about object positions relative to each other
  • Step-by-step Reasoning: The model provides detailed reasoning before answering

How to Use

  1. Upload an image
  2. Ask a question about spatial relationships in the image
  3. The model will provide a detailed answer with reasoning

Example Questions

  • "Which object is further away from the camera? A. boat B. fire hydrant"
  • "Are the kid and the teddy bear facing same or similar directions?"
  • "If I stand at the recreational vehicle's position facing where it is facing, is the dog in front of me or behind me?"

The model is trained to provide answers in a structured format with reasoning enclosed in <think> tags and final answers in \boxed{}.

gradio

Contributors

YU
yuhangzang

7 commits

CL
Claude

1 commits