Karan36k/pix2pix
Live Implementation of Research Paper on image-to-image translation. The approach was presented by Phillip Isola, et al. in their 2016 paper titled “Image-to-Image Translation with Conditional Adversarial Networks” and presented at CVPR in 2017. Link to paper - https://arxiv.org/pdf/1611.07004.pdf
This project allows you to transform one type of image into another, for example, turning a black and white sketch of a building into a photorealistic image, or a satellite map into a street map. You provide an input image, and it generates a corresponding image in a different style or representation. It's useful for artists, designers, or researchers who need to visualize transformations between image types.
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Use this if you need to convert images from one visual domain to another, like generating realistic faces from outlines or converting day scenes to night scenes.
Not ideal if you're looking for simple image filtering or augmentation, or if your images don't have a clear corresponding pair for transformation.
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Oct 21, 2021
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