Yu Zeng

Title: Innovations by Yu Zeng in Image Inpainting

Introduction

Yu Zeng is an accomplished inventor based in Liaoning, China, known for his contributions to the field of image processing. He holds a total of 3 patents that focus on advanced techniques for image inpainting, which is crucial for enhancing image quality and resolution.

Latest Patents

One of Yu Zeng's latest patents is titled "Guided up-sampling for image inpainting." This patent describes methods and systems for accurately filling holes and regions in high-resolution images using guided upsampling. The system employs neural networks to generate high-resolution inpainting results from lower-resolution images. Another significant patent is "Iterative image inpainting with confidence feedback." This invention utilizes iterative inpainting techniques that analyze the confidence of predicted pixels to progressively fill undefined areas in images. Both patents showcase Yu Zeng's innovative approach to improving image quality through advanced technology.

Career Highlights

Yu Zeng is currently employed at Adobe, Inc., where he continues to develop cutting-edge solutions in image processing. His work at Adobe has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of Yu Zeng's notable coworkers include Zhe Lin and Jimei Yang, who are also recognized for their expertise in image processing and related technologies.

Conclusion

Yu Zeng's innovative patents and work at Adobe, Inc. highlight his significant contributions to the field of image inpainting. His advancements in this area are paving the way for improved image processing techniques that benefit various applications.