Company Filing History:
Years Active: 2024
Title: Innovations by Huiwen Luo in 3D Avatar Synthesis
Introduction
Huiwen Luo is an accomplished inventor based in Los Angeles, CA, known for his significant contributions to the field of computer vision and image processing. With a total of two patents to his name, Luo has developed innovative systems that enhance the generation and normalization of three-dimensional models from two-dimensional images.
Latest Patents
Luo's latest patents include "Normalized three-dimensional avatar synthesis and perceptual refinement" and "Normalization of facial images using deep neural networks." The first patent describes a system, method, and apparatus for generating a normalized three-dimensional model of a human face from a single unconstrained two-dimensional image. This system utilizes a processor that executes instructions to receive the image, determine an inferred model, and iteratively refine it to achieve a neutral expression with unshaded albedo textures under diffuse lighting conditions. The second patent focuses on generating a normalization of a single two-dimensional image of an unconstrained human face. It involves removing perspective distortion, normalizing lighting, and generating a frontalized and neutralized expression face through various neural networks.
Career Highlights
Huiwen Luo is currently employed at Pinscreen, Inc., where he continues to push the boundaries of technology in avatar synthesis and facial image processing. His work has garnered attention for its potential applications in various industries, including gaming, virtual reality, and digital media.
Collaborations
Luo collaborates with talented individuals such as Koki Nagano and Zejian Wang, contributing to a dynamic team focused on advancing the capabilities of 3D modeling and image normalization technologies.
Conclusion
Huiwen Luo's innovative patents and contributions to the field of image processing highlight his role as a leading inventor in the development of advanced technologies for facial modeling. His work continues to influence the future of digital representation and avatar synthesis.