US 12,315,042 B2
Image generation method, apparatus, and device, and storage medium
Caijin Zhou, Beijing (CN); Xinghong Hu, Beijing (CN); and Youwen Zhuang, Beijing (CN)
Assigned to BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD., Beijing (CN)
Appl. No. 18/023,893
Filed by Beijing Bytedance Network Technology Co., Ltd., Beijing (CN)
PCT Filed Aug. 11, 2021, PCT No. PCT/CN2021/112039
§ 371(c)(1), (2) Date Feb. 28, 2023,
PCT Pub. No. WO2022/048414, PCT Pub. Date Mar. 10, 2022.
Claims priority of application No. 202010909071.9 (CN), filed on Sep. 2, 2020.
Prior Publication US 2023/0334729 A1, Oct. 19, 2023
Int. Cl. G06T 11/00 (2006.01); G06T 5/70 (2024.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06T 11/60 (2006.01)
CPC G06T 11/001 (2013.01) [G06T 5/70 (2024.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06T 11/60 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30196 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An image generation method, comprising:
setting at least two brush layers for a target image, wherein each of the at least two brush layers is set with a preset brush density;
determining, for each brush layer, attributes of brush objects on the brush layer based on the preset brush density of the brush layer, wherein the attributes include brush position information and brush size;
establishing a brush queue for each brush layer, and for each of the brush objects, storing the brush object in the brush queue of the brush layer corresponding to the brush object; and
generating a target styled image corresponding to the target image based on the attributes of the brush objects in the brush queue of each brush layer.