Bigo Technology Pte. Ltd.

Yule Li

Wei Xiang

An Li

Jiahong Huang

Provided is a method for training an image generation model, including: acquiring a first transformation model by training; acquiring a reconstruction model by training based on the first transformation model; acquiring a second transformation model by training; generating a grafted transformation model by grafting the first transformation model with the second transformation model; and generating the image generation model based on the reconstruction model and the grafted transformation model. The first transformation model is configured to generate a first training image according to a first noise sample. The first training image is an image of a first style. The reconstruction model is configured to map an original image sample to a latent variable corresponding to the original image sample. The second transformation model is configured to generate a second training image according to a second noise sample. The second training image is an image of a second style.

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Guangzhou, China

Yule Li