Style Transfer with Neural Networks #120
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@ombhojane the task has been completed. Kindly review it. |
ombhojane
requested changes
Oct 22, 2024
okay |
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@ombhojane Could you kindly review the task and add labels on the PR |
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🎉🎉 Thank you for your contribution! Your PR #120 has been merged! 🎉🎉 |
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Closes: #88
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.
Reference Issue: #88