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  # Benchmarking Spatial Relationships in Text-to-Image Generation
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  *Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang*
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- <!-- ![](assets/motivating_example_4.png "") -->
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- <p align=center>
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- <img src="visor_example_detailed_new.png" height=400px/>
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- </p>
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  - We introduce a large-scale challenge dataset SR<sub>2D</sub> that contains sentences describing two objects and the spatial relationship between them.
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  - We introduce a metric called VISOR (short for **V**erify**I**ng **S**patial **O**bject **R**elationships) to quantify spatial reasoning performance.
 
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  # Benchmarking Spatial Relationships in Text-to-Image Generation
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  *Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang*
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  - We introduce a large-scale challenge dataset SR<sub>2D</sub> that contains sentences describing two objects and the spatial relationship between them.
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  - We introduce a metric called VISOR (short for **V**erify**I**ng **S**patial **O**bject **R**elationships) to quantify spatial reasoning performance.