Image-Generation-Using-GANs

Models for generating images using Generative Adversarial Networks (GANs).

Click here To see the models

Team Members

• Ahmed Nezar
• Seif Yasser
• Kirollos Ehab
• Abdulrahman Hesham
• Omar Ahmed

Contents

• GANs-Colored
• GANs-Gray-Scaled
• cDCGAN-Colored-64
• cDCGAN-Gray-Scaled-128
• CWGANS-GP-Coloured-Flip-128
• CWGANS-GP-Coloured-No-Flip-128
• CWGANS-GP-Gray-Scaled-No-Flip-128
• CWGANS-GP-2-Colored-64-Flip-lr-2e-4
• CWGANS-GP-2-Colored-64-Flip-lr-5e-4
• CWGANS-GP-2-Colored-64-No-Flip
• CWGANS-Gray-Scaled-GP-64-Flip

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GANs

GANs Architectures for the Basic Linear GANs

Colored

Gray-Scaled

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cDCGANs

GANs Architectures for the Deep Convolution GANs

Colored-64

Gray-Scaled-128

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cWGANs

GANs Architectures for the Wasserstein GANs

Colored

64 With Flip and lr=2e-4

64 With Flip and lr=5e-4

64 Without Flip

128 With Flip

128 Without Flip

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Gray-Scaled

64 With Flip

128 Without Flip