2-Min AI Newsletter #16

Featured Post?????????

Meet DALL-E-Bot: An Artificial Intelligence (AI) Based Robotics System That Gives Web-Scale Diffusion Models An Embodiment To Realise The Scenes That They Imagine

Nowadays, it is difficult to pass a day without reading/hearing about a new application of diffusion models if you are following the news about artificial intelligence/machine learning. The massive success of diffusion models like DALL-E and Stable Diffusion has attracted enormous attention to these applications.

What if we could go deeper? What if we use these generated images to train another AI model to achieve a task? How about teaching a robot to do something? That’s the question DALL-E-Bot tries to answer.

DALL-E-Bot tries to tackle the object rearrangement problem. Since diffusion models can generate realistic images, the authors wanted to examine their capabilities of arranging objects in the scene in a natural way. For example, “kitchen tabletop with utensils” prompt will generate a realistic-looking image where the utensils and the plate are neatly placed if you pass it to DALL-E. Based on this observation, DALL-E-Bot uses a diffusion model to generate the goal for the robot. Once the robot sees this image, it will know what the final object arrangement should look like.?

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