Jing Yang

Title: Jing Yang - Innovator in Neural Rendering Technologies

Introduction

Jing Yang is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the field of neural rendering technologies. His innovative work focuses on creating photo-realistic images using advanced neural networks.

Latest Patents

Jing Yang holds a patent for "Systems and methods for physically-based neural face shader via volumetric lightmaps." This patent describes methods and systems for rendering photo-realistic images of a subject or an object using a differentiable neural network to predict indirect light behavior. The differentiable neural network outputs a volumetric light map comprising a plurality of spherical harmonic representations. Additionally, a reflectance neural network computes roughness and scattering coefficients associated with the subject or object. These elements are utilized for rendering a final image under various desired lighting conditions, camera view angles, and visual effects, such as expression changes. Jing Yang has 1 patent to his name.

Career Highlights

Jing Yang is affiliated with the University of Southern California, where he continues to advance his research and development in neural rendering technologies. His work has garnered attention for its potential applications in various industries, including gaming, film, and virtual reality.

Collaborations

Jing Yang collaborates with talented individuals such as Yajie Zhao and Hanyuan Xiao. Their combined expertise enhances the innovative projects they undertake together.

Conclusion

Jing Yang is a key figure in the realm of neural rendering, with a focus on creating realistic visual experiences through advanced technologies. His contributions are paving the way for future innovations in this exciting field.