Samsung Electronics Co., Ltd.

Ondrej Texler

Hyun Jae Kang

Anthony Sylvain Jean-Yves Liot

Sajid Hassan Sadi

Dimitar Petkov Dinev

Siddarth Ravichandran

Janvi Chetan Palan

Ankur Gupta

Sandipan Banerjee

Vignesh Gokul

Computer-implemented content delivery includes caching a source content having a plurality of bridge points. A user event indicating an interaction with a user is received. The user event is received during playback of the source content. In response to the user event, a template is selected from a plurality of cached templates. The template corresponds to a bridge point selected from the plurality of bridge points of the source content as an exit point from the source content. In response to the user event, a bridge is dynamically generated. The bridge links the bridge point with the template. In response to the user event, a target content is selected from a plurality of cached target contents. In response to the user event, the bridge, the template, and the target content is conveyed to a device of the user for playback following the bridge point of the source content.

Cache-based content distribution network

Creating images and animations of lip motion from mouth shape data includes providing, as one or more input features to a neural network model, a vector of a plurality of coefficients. Each vector of the plurality of coefficients corresponds to a different mouth shape. Using the neural network model, a data structure output specifying a visual representation of a mouth including lips having a shape corresponding to the vector is generated.

Creating images, meshes, and talking animations from mouth shape data

Image generation using a hierarchical, model-based system includes generating a first region of an image using a first neural network model. The first region of the image is provided to a second neural network model as input. A second region of the image is generated using the second neural network model. The second region of the image shares a boundary with at least a portion of the first region of the image.

Hierarchical model-based generation of images

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San Jose, CA, United States of America

Ondrej Texler