Abstract: An image processing device includes one or more storage devices; and one or more processors configured to create a first image by inputting a first latent variable into a first generative model; store the first latent variable in the one or more storage devices in association with identification information of the first generative model; acquire the first latent variable and the identification information of the first generative model associated with the first latent variable; generate a second latent variable based on the first latent variable; create a second image by inputting the second latent variable into the first generative model; and store the second latent variable in the one or more storage devices in association with the identification information of the first generative model. The second image is different from the first image and includes at least a second object different from a first object included in the first image.

Abstract: A data generation method includes generating, by at least one processor, an output image by using a first image, a first segmentation map, and a first neural network, the first segmentation map being layered.

Abstract: An image processing method for a computer device. The method includes obtaining a to-be-processed image belonging to a first image category; inputting the to-be-processed image into a first stage image conversion model, to obtain a first intermediate image; and converting the first intermediate image into a second intermediate image through a second stage image conversion model. The method also includes determining a first weight matrix corresponding to the first intermediate image; determining a second weight matrix corresponding to the second intermediate image; and fusing the first intermediate image and the second intermediate image according to the corresponding first weight matrix and second weight matrix, to obtain a target image corresponding to the to-be-processed image and belonging to a second image category. A sum of the first weight matrix and the second weight matrix being a preset matrix.

Abstract: An image processing method for a computer device. The method includes obtaining a to-be-processed image belonging to a first image category; inputting the to-be-processed image into a first stage image conversion model, to obtain a first intermediate image; and converting the first intermediate image into a second intermediate image through a second stage image conversion model. The method also includes determining a first weight matrix corresponding to the first intermediate image; determining a second weight matrix corresponding to the second intermediate image; and fusing the first intermediate image and the second intermediate image according to the corresponding first weight matrix and second weight matrix, to obtain a target image corresponding to the to-be-processed image and belonging to a second image category. A sum of the first weight matrix and the second weight matrix being a preset matrix.