Archives for Text To Image Synthesis
Any typical successful computer vision model first undergoes pre-training on ImageNet and then proceeds to do the tasks such as classification or captioning of the image. But can the vision models learn more from language? To explore this, two researchers from the University Of Michigan introduced “VirTex”, a pretraining approach to learn visual features via…
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Generative Adversarial Networks or popularly known as GANs, have been successfully used in various areas such as computer vision, medical imaging, style transfer, natural language generation, to name a few. In one of our articles, we discussed the beginner’s guide to GANs and how it proves to be a front-runner for gaining the ultimate artificial…
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