Google Inc.

Adobe, Inc.

Samaneh Azadi

Elya Shechtman

Zhaowen Wang

Matthew David Fisher

Vladimir Kim

Ian Goodfellow

Augustus Quadrozzi Odena

Catherine Olsson

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a data sample in response to a request for a data sample. In one aspect, a method comprises: receiving a request for a new data sample; until a candidate new data sample is generated that satisfies an acceptance criterion, performing operations comprising: generating a candidate new data sample using a generator neural network; processing the candidate new data sample using a discriminator neural network to generate an imitation score; and determining, from the imitation score, whether the candidate new data sample satisfies the acceptance criterion; and providing the candidate new data sample that satisfies the acceptance criterion in response to the received request.

Sampling from a generator neural network using a discriminator neural network

Techniques are disclosed for the synthesis of a full set of slotted content, based upon only partial observations of the slotted content. With respect to a font, the slots may comprise particular letters or symbols or glyphs in an alphabet. Based upon partial observations of a subset of glyphs from a font, a full set of the glyphs corresponding to the font may be synthesized and may further be ornamented.

Synthesizing new font glyphs from partial observations

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El Cerrito, CA, United States of America

Samaneh Azadi