🪄🖼 Edge#241: Emerging Capabilities of Text-to-Image Synthesis Models
Was this email forwarded to you? Sign up here 🪄🖼 Edge#241: Emerging Capabilities of Text-to-Image Synthesis Models+NVIDIA's textual inversion approach; +Outpainting interfacesIn this issue:
Enjoy the learning! 💡 ML Concept of the Day: Emerging Capabilities of Text-to-Image Synthesis ModelsTo conclude our series about text-to-image synthesis models, today I would like to discuss some of the new areas of research that are powering new capabilities in this type of model. The first efforts in large-scale text-to-image generation have been focused on the creation of high-fidelity outputs. As that problem looks more and more solved, complementary capabilities are commanding a lot of research in the text-to-image space. Specifically, we think the following capabilities are going to become prominent components of the next generation of text-to-image generation models: ... 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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