GANs for Image Editing

In recent years, Generative Adversarial Networks (GANs) have become extensively popular for a lot of computer vision tasks. GANs have increasingly been used for numerous image editing and enhancement applications such as dust and scratch removal [R1], image colorization [R2], and unwanted object removal and…

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GAN: Latent Space Exploration

Introduction It is amazing to see how advances in Generative Adversarial Networks have led us to generate realistic high resolution images. We at FlixStock rely on Generative Adversarial Networks for generating realistic high quality model images. When we use GANs to generate images, it is…

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AI Model Generation

Introduction While designing fashion catalogs, it is often desired to have control over model features such as ethnicity, pose, color, build, etc. Traditionally, this has been done by shooting catalogs with different models to suit the purpose. However, the current state of the art research…

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