🎆🌆 Edge#231: Text-to-Image Synthesis with GANs
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Enjoy the learning! 💡 ML Concept of the Day: Text-to-Image Synthesis with GANsIn Edge#229, we discussed the VQGAN+CLIP method that leverages a pretrained model with a generative adversarial network (GAN) to create high-fidelity images based on textual input. In that model, CLIP learns the similarities between textual inputs and images to guide the GAN model. VQGAN+CLIP represents one of the newest methods to use GANs for text-to-image synthesis but certainly not the only one. As a matter of fact, GANs represent the most traditional text-to-image method in deep learning architectures. ... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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