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Update app.py
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app.py
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@@ -91,6 +91,9 @@ examples = [
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with gr.Blocks() as demo:
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gr.Markdown("""
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# PIVOT: Prompting with Iterative Visual Optimization
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The demo below showcases a version of the PIVOT algorithm, which uses iterative visual prompts to optimize and guide the reasoning of Vision-Langauge-Models (VLMs).
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Given an image and a description of an object or region,
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PIVOT iteratively searches for the point in the image that best corresponds to the description.
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with gr.Blocks() as demo:
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gr.Markdown("""
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# PIVOT: Prompting with Iterative Visual Optimization
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[website](https://pivot-prompt.github.io/)
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The demo below showcases a version of the PIVOT algorithm, which uses iterative visual prompts to optimize and guide the reasoning of Vision-Langauge-Models (VLMs).
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Given an image and a description of an object or region,
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PIVOT iteratively searches for the point in the image that best corresponds to the description.
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