Amazon Technologies, Inc.

Google Inc.

Vinay Kotikalapudi Sriram

William Evan Welbourne

Sven Eberhardt

Jay Patel

Nathan Frey

A method for replacing an object in an image. The method may include identifying a first object at a position within a first image, masking, based on the first image and the position of the first object, a target area to produce a masked image, generating, based on the masked image and an inpainting machine learning model, a second image different from the first image, the inpainting machine learning model being trained using a difference between the target area of training images and content of generated images at location corresponding to the target area of the training images, generating, based on the masked image and the second image, a third image, and adding, to the third image, a new object different from the first object.

Image replacement inpainting

This disclosure describes, in part, techniques for utilizing global models to generate local models for electronic devices in an environment, and techniques for utilizing the global models and/or the local models to provide notifications that are based on anomalies detected within the environment. For instance, a remote system may receive an identifier associated with an electronic device and identify a global model using the identifier. The remote system may then receive data indicating state changes of the electronic device and use the data and the global model to generate a local model associated with the electronic device. Using the global model and/or local model, the remote system can identify anomalies associated with the electronic device and, in response to identifying an anomaly, notify the user. The remote system can further cause the electronic device to change states after receiving a request from the user.

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Boyds, MD, United States of America

Vinay Kotikalapudi Sriram