Preferred Networks, Inc.

Takeru Miyato

Ryohei Suzuki

Taizan Yonetsuji

A model generation method includes updating, by at least one processor, a weight matrix of a first neural network model at least based on a first inference result obtained by inputting, to the first neural network model which discriminates between first data and second data generated by using a second neural network model, the first data, a second inference result obtained by inputting the second data to the first neural network model, and a singular value based on the weight matrix of the first neural network model. The model generation method also includes at least based on the second inference result, updating a parameter of the second neural network model.

Data discriminator training method, data discriminator training apparatus, non-transitory computer readable medium, and training method

A flexible data editing scheme to change and modify an intermediate representation or conditional information for a portion of to-be-edited data is disclosed. One aspect of the present disclosure relates to a data editing apparatus, comprising: one or more memories; and one or more processors configured to receive a change indication to change at least a first data area of first data; generate second data by using one or more generative models and an intermediate representation for the first data area; and replace the first data area of the first data with the second data to generate third data.

Apparatus and method for editing data and program

Embodiments are directed to accurately measuring a distance between a 'true probability distribution: q' and a 'probability distribution determined from a model of a generator: p' by D(x,y) of cGANs, so that a generated image may be made closer to a true image. A method of generating an image by using a conditional generative adversarial network constituted by two neural networks which are a generator and a discriminator, in which the discriminator outputs a result obtained from an arithmetic operation using a model of the following equation:(;&#x3b8;):=(;&#x3b8;)+(;&#x3b8;)=()+&#x3c8;(&#x3d5;()).

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Tokyo, Japan

Takeru Miyato