A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.
Blackout Diffusion, presented at the recent International Conference on Machine Learning, generates samples that are comparable to the current diffusion models, such as DALL-E or Midjourney but require fewer computational resources than these models.
“Generative modeling is bringing in the next industrial revolution with its capability to assist many tasks, such as generation of software code, legal documents, and even art,” said Javier Santos, an AI researcher at Los Alamos National Laboratory a...
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