Beijing, China

Weihong Zeng

USPTO Granted Patents = 5 

Average Co-Inventor Count = 7.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Innovations of Weihong Zeng in Image Generation

Introduction

Weihong Zeng is a prominent inventor based in Beijing, China, known for his contributions to the field of image generation. With a total of five patents to his name, Zeng has developed innovative methods that leverage generative adversarial networks (GANs) to create stylized images and avatars.

Latest Patents

One of Zeng's latest patents is titled "Cascaded domain bridging for image generation." This method involves generating a stylized 3D avatar by receiving an input image of a user and utilizing a GAN generator to create a stylized image. The process includes generating parameters that help in producing an avatar image, which is then refined based on a loss function to minimize error. Another significant patent is the "Agilegan-based stylization method to enlarge a style region." This method focuses on enlarging a stylized region of an image by blending multiple stylized images generated from input images through GANs.

Career Highlights

Throughout his career, Weihong Zeng has worked with notable companies such as Lemon Inc. and Beijing Zitiao Network Technology Co., Ltd. His work has significantly impacted the way images are stylized and generated, showcasing his expertise in the field.

Collaborations

Zeng has collaborated with talented individuals in his field, including Jingna Sun and Xu Wang. These collaborations have likely contributed to the innovative approaches he has developed in image generation.

Conclusion

Weihong Zeng's work in image generation through advanced methods and technologies highlights his role as a leading inventor in this domain. His patents reflect a commitment to pushing the boundaries of what is possible in image processing and generation.

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