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Update app.py

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@@ -175,13 +175,22 @@ with gr.Blocks() as demo:
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  gr.Markdown("""
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  ## [NamedCurves](https://namedcurves.github.io/): Learned Image Enhancement via Color Naming
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  [David Serrano-Lozano](https://davidserra9.github.io/), [Luis Herranz](https://www.lherranz.org/), [Michael S. Brown](https://www.eecs.yorku.ca/~mbrown/), [Javier Vazquez-Corral](https://jvazquezcorral.github.io/)
 
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  Computer Vision Center, Universitat Autònoma de Barcelona, Universidad Autónoma de Madrid, York University
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- **NamedCurves decomposes an image into a small set of named colors and enhances them using a learned set of tone curves.** By making this decomposition, we improve the interactivity of the model as the user can modify the tone curves assigned to color name to manipulate only a certain color of the image.
 
 
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- * Upload an image and click "Run" to automatically enhance the image.
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- * Then, you can adjust the tone curves for each color name to make the retouched version to your liking. Manipulate the sliders corresponding to the control points that define the tone curves. Note that for simplicity, we show the intensity values of the control points instead of the RGB values of each control point.
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-
 
 
 
 
 
 
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  """)
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  with gr.Row():
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  with gr.Column():
 
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  gr.Markdown("""
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  ## [NamedCurves](https://namedcurves.github.io/): Learned Image Enhancement via Color Naming
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  [David Serrano-Lozano](https://davidserra9.github.io/), [Luis Herranz](https://www.lherranz.org/), [Michael S. Brown](https://www.eecs.yorku.ca/~mbrown/), [Javier Vazquez-Corral](https://jvazquezcorral.github.io/)
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+
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  Computer Vision Center, Universitat Autònoma de Barcelona, Universidad Autónoma de Madrid, York University
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+ **NamedCurves is a novel image enhancement method that decomposes an image into a small set of named colors and enhances them using a learned set of tone curves.** This decomposition improves the model’s interactivity, allowing users to manipulate specific colors in the image by adjusting the corresponding tone curves.
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+ * Automatic Enhancement. Upload an image and click “Run” to apply automatic enhancement based on the learned tone curves.
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+ * Interactive Adjustments. Fine-tune the enhancement by modifying the tone curves for each named color clicking "Recompute". This lets you manipulate specific colors without affecting others in the image. Each color has a set of control points that define the tone curves. Adjust the R, G, and B values for each control point with the sliders below the curve visualization.
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+ Explore the tool and create customized, color-aware image enhancements effortlessly!
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+
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+ <code>
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+ @article{serrano2024namedcurves,
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+ author = {Serrano-Lozano, David and Herranz, Luis and Brown, Michael S. and Vazquez-Corral, Javier},
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+ title = {NamedCurves: Learned Image Enhancement via Color Naming},
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+ journal = {ECCV},
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+ year = {2024}}
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+ </code>
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  """)
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  with gr.Row():
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  with gr.Column():