This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Junbang Liang in Virtual Garment Draping
Introduction
Junbang Liang is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of machine learning and virtual garment rendering. His innovative approach has the potential to revolutionize how clothing is visualized on 3D human models.
Latest Patents
Junbang Liang holds a patent for "Virtual garment draping using machine learning." This patent describes systems and methods for machine learning-based rendering of a clothed human with a realistic 3D appearance. The technology allows for virtually draping garments on a 3D human body model. The machine learning model is trained using a variety of 3D body meshes that reflect different body types. It includes an encoder that extracts body features from an input 3D mesh and a decoder network that drapes the garment based on spectral decomposition of a mesh associated with the garment. This trained model can drape garments on new input body meshes, showcasing its versatility.
Career Highlights
Junbang Liang is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of virtual garment rendering. His work is at the intersection of technology and fashion, providing new tools for designers and consumers alike.
Collaborations
Some of his notable coworkers include Ming Lin and Javier Romero Gonzalez-Nicolas. Their collaborative efforts contribute to the advancement of technology in the fashion industry.
Conclusion
Junbang Liang's work in virtual garment draping exemplifies the intersection of technology and creativity. His innovative patent has the potential to change how we visualize clothing on diverse body types, making significant strides in the fashion technology landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
