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README.md

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 We introduce ViewSpatial-Bench, a comprehensive benchmark with over 5,700 question-answer pairs across 1,000+ 3D scenes from ScanNet and MS-COCO validation sets. This benchmark evaluates VLMs' spatial localization capabilities from multiple perspectives, specifically testing both egocentric (camera) and allocentric (human subject) viewpoints across five distinct task types.
 
-ViewSpatial-Bench addresses a critical gap: while VLMs excel at spatial reasoning from their own perspective, they struggle with perspective-taking—adopting another entity's spatial frame of reference—which is essential for embodied interaction and multi-agent collaboration.
+ViewSpatial-Bench addresses a critical gap: while VLMs excel at spatial reasoning from their own perspective, they struggle with perspective-taking—adopting another entity's spatial frame of reference—which is essential for embodied interaction and multi-agent collaboration.The figure below shows the construction pipeline and example demonstrations of our benchmark.
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+<img alt="ViewSpatial-Bench construction pipeline and example questions" src="https://cdn.jsdelivr.net/gh/lidingm/blog_img/img/202505190038733.png" style="width: 100%; max-width: 1000px;" />
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 - **Language(s) (NLP):** en
 - **License:** apache-2.0