US 12,254,064 B2
Image generation method, neural network compression method, and related apparatus and device
Hanting Chen, Beijing (CN); Yunhe Wang, Beijing (CN); Chuanjian Liu, Beijing (CN); Kai Han, Beijing (CN); and Chunjing Xu, Shenzhen (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Guangdong (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Guangdong (CN)
Filed on Sep. 29, 2021, as Appl. No. 17/488,735.
Application 17/488,735 is a continuation of application No. PCT/CN2020/082599, filed on Mar. 31, 2020.
Claims priority of application No. 201910254752.3 (CN), filed on Mar. 31, 2019.
Prior Publication US 2022/0019855 A1, Jan. 20, 2022
Int. Cl. G06F 18/214 (2023.01); G06F 18/243 (2023.01); G06N 3/047 (2023.01)
CPC G06F 18/2148 (2023.01) [G06F 18/243 (2023.01); G06N 3/047 (2023.01)] 20 Claims
OG exemplary drawing
 
1. An image generation 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, and the first matrix does not contain image data;
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, wherein the second matrix is a same type and format as the first matrix.