Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
Developing application to edit images to have desired attributes using Generative Adversarial Networks (GANs).
The objective is to have answers to questions such as -
Provided implementation of DCGAN model in tensorflow. Read here
Trained an encoder model(DeepConv Encoder) on top of the DCGAN model to encode an image and then pass it to the generator to produce image which is same as that of the input image. Read here
Used the Encoder-Generator model to manipulate images to have desired attributes.
Orignal Image | Encoded Image | Male | High Cheekbones | Blond Hair | Bangs |
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Orignal Image | Encoded Image | Bald | 5 o' Clock Shadow | Double Chin | Pale Skin |
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Orignal Image | Encoded Image | Smiling | Bushy Eyebrows | Mustache | Wavy Hair |
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Provided implementation of CycleGAN model in tensorflow. Read here
Trained the model on Monet-Photo Database and Summer-Winter Database. (with increased training images per epoch)
Input Image | Output Image | Input Image | Output Image | Input Image | Output Image |
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Input Image | Output Image | Input Image | Output Image | Input Image | Output Image |
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Abhishek Tandon/ @Tandon-A