Adobe, Inc.

Alvin Ghouas

Ajinkya Gorakhnath Kale

Baldo Antonio Faieta

Shabnam Ghadar

Pranav Vineet Aggarwal

Nico Becherer

William L Marino

Sachin Madhav Kelkar

Sudharshan Reddy Kakumanu

Ben Bowles

Alexander Riss

Dhaval Shah

Tim Converse

Systems and methods for image processing are described. Embodiments of the present disclosure receive a first image depicting a scene and a second image that includes a style; segment the first image to obtain a first segment and a second segment, wherein the first segment has a shape of an object in the scene; apply a style transfer network to the first segment and the second image to obtain a first image part, wherein the first image part has the shape of the object and the style from the second image; combine the first image part with a second image part corresponding to the second segment to obtain a combined image; and apply a lenticular effect to the combined image to obtain an output image.

Stylized motion effects

The present disclosure describes systems and methods for a privacy sensitive computing system. One or more embodiments provide a protected computing environment, a code authorization unit, and a data aggregation unit. For example, some embodiments of the privacy sensitive computing system may train unsupervised or self-supervised ML models on user-generated assets subject to privacy considerations that mandate those assets are not viewed directly by human eyes.

Platform for unsupervised machine learning training on unseeable user generated assets

Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.

Exploration of large-scale data sets

Growing community of inventors

Berkeley, CA, United States of America

Alvin Ghouas