Image generation method, neural network compression method, and related apparatus and device

A sample generation method, comprising:

• inputting a first matrix into an initial sample generator to obtain a first generated sample, wherein the initial sample generator is a deep neural network;
• inputting the first generated sample into a preset discriminator to obtain a determining result, wherein the preset discriminator is obtained through training based on first training data, and the first training data comprises a real sample and a category corresponding to the real sample;
• updating parameters of the initial sample generator based on the determining result of the first generated sample to obtain a target sample generator;
• and
• inputting a second matrix into the target sample generator to obtain a second generated sample.

An image generation apparatus, comprising a memory and a processor, wherein the memory is configured to store a program, the processor is configured to execute the program stored in the memory, and when the program stored in the memory is executed, the processor is configured to perform the image generation method, the method comprising:

• inputting a first matrix into an initial image generator to obtain a generated image, wherein the initial image generator is a deep neural network;
• inputting the generated image into a preset discriminator to obtain a determining result, wherein the preset discriminator is obtained through training based on first training data, and the first training data comprises a real image and a category corresponding to the real image;
• updating the initial image generator based on the determining result to obtain a target image generator;
• and
• inputting a second matrix into the target image generator to obtain a sample image.