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Understanding VQ-VAE (DALL-E Explained Pt. 1)
mlberkeley.substack.com · 3,305 words · saved by 1 readers
By Charlie Snell
Understanding VQ-VAE (DALL-E Explained Pt. 1) Machine Learning at Berkeley Feb 09, 2021 228 7 25 Share By Charlie Snell Like everyone else in the ML community, we’ve been incredibly impressed by the results from OpenAI’s DALL-E . This model is able to generate precise, high quality images from a text description. It can even produce creative renderings of objects that likely don’t exist in the real world, like “an armchair in the shape of an avocado”. To celebrate the release of DALL-E, we’re publishing a series of blog posts explaining the key components of this model. This first blog post in
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