kangig94/TF2-Image-Generation
Tensorflow2 reimplementation of image generation model (GAN, Style Transfer, Image to Image Translation, etc)
This is a collection of code examples that generate new images based on various techniques like Generative Adversarial Networks (GANs) and Neural Style Transfer. It takes an input image (or no input for GANs) and generates new, synthetic images or applies artistic styles from one image to another. This is useful for researchers and developers experimenting with advanced image synthesis methods.
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Use this if you are a machine learning researcher or developer working with TensorFlow 2 and want to explore, implement, or understand various image generation models such as GANs and style transfer.
Not ideal if you are an end-user looking for a ready-to-use application to generate or style images without needing to write or modify code.
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Python
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Last pushed
Mar 24, 2022
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