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UTSAVS26 / PyVerse

PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
https://sites.google.com/view/pyverse-python-universe/
MIT License
50 stars 130 forks source link

Style Transfer with Neural Network #405

Open alo7lika opened 4 days ago

alo7lika commented 4 days ago

Have you completed your first issue?

Guidelines

Latest Merged PR Link

https://github.com/UTSAVS26/PyVerse/pull/292

Project Description

The Style Transfer with Neural Networks project explores the use of deep learning techniques to combine the content of one image with the artistic style of another. By utilizing Convolutional Neural Networks (CNNs), the model separates the content features from the structure and the style features from patterns like brushstrokes or colors. The style transfer process involves optimizing a new image that retains the content of the first image while applying the artistic qualities of the second. The project leverages a pre-trained model, such as VGG16 or VGG19, to extract content and style representations, and it uses loss functions to balance the content and style contributions in the final output. This approach has wide applications in digital art, enabling users to create unique artwork by blending different artistic styles with real-world images.

Full Name

alolika bhowmik

Participant Role

Contributor GSSOC EXT 24

github-actions[bot] commented 4 days ago

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

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alo7lika commented 3 days ago

@UTSAVS26 I have completed the task. Please feel free to review the project.