GAN Model and DJANGO Image Processing Web App
Budget: $10 – $30 USD
1. To develop the wedding photo style transfer system by using Generative Adversarial
Network (GAN).
I. The system could be able to recognize the patterns of contents and styles.
II. The system could be able to differentiate and combine contents and styles.
2. To allow couples to combine different styles for their wedding photos directly.
I. The system could be able to generate wedding photos with different styles.
3. To reduce the workload of designers while editing wedding photos.
I. The system could be able to transfer the style image to the original wedding
photo automatically by learning algorithms.
II. The system could be able to enhance the recognition of wedding photos.
This is a dataset too if u need more For both men and women: https://www.kaggle.com/trolukovich/apparel-images-dataset?select=black_shirt
Wedding photo: https://unsplash.com/s/photos/wedding
style: https://unsplash.com/s/photos/country
Groom: https://unsplash.com/s/photos/groom
Bridal: https://www.kaggle.com/elhamazizi/bridal-dress
Just a reminder, the features that i mentioned in the word file before are optionables, users can use those features , or they just want a simple style transfer output, or they want to combine few features only but not all of them, these all depends on them.
Check the attached file for requirement.
Network (GAN).
I. The system could be able to recognize the patterns of contents and styles.
II. The system could be able to differentiate and combine contents and styles.
2. To allow couples to combine different styles for their wedding photos directly.
I. The system could be able to generate wedding photos with different styles.
3. To reduce the workload of designers while editing wedding photos.
I. The system could be able to transfer the style image to the original wedding
photo automatically by learning algorithms.
II. The system could be able to enhance the recognition of wedding photos.
This is a dataset too if u need more For both men and women: https://www.kaggle.com/trolukovich/apparel-images-dataset?select=black_shirt
Wedding photo: https://unsplash.com/s/photos/wedding
style: https://unsplash.com/s/photos/country
Groom: https://unsplash.com/s/photos/groom
Bridal: https://www.kaggle.com/elhamazizi/bridal-dress
Just a reminder, the features that i mentioned in the word file before are optionables, users can use those features , or they just want a simple style transfer output, or they want to combine few features only but not all of them, these all depends on them.
Check the attached file for requirement.