Datasets:

lidingm
/

ViewSpatial-Bench

Tasks:

Visual Question Answering

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Tags:

spatial-reasoning

cross-viewpoint localization

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@@ -36,7 +36,7 @@ We introduce **ViewSpatial-Bench**, a comprehensive benchmark with over 5,700 qu
 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.
-<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;" />
 The dataset contains the following fields:
 | Field Name | Description |

 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.
+<img alt="ViewSpatial-Bench construction pipeline and example questions" src="https://cdn.jsdelivr.net/gh/lidingm/blog_img/img/202505222134833.png" style="width: 100%; max-width: 1000px;" />
 The dataset contains the following fields:
 | Field Name | Description |