This inventor holds 1 USPTO granted patent. 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: Adam Douglas Peck - Innovator in Virtual Garment Draping
Introduction
Adam Douglas Peck is a notable 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 the fashion industry by providing realistic 3D representations of clothing on diverse body types.
Latest Patents
Adam 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, utilizing a machine learning model trained on various 3D body meshes that reflect different body types. The model includes an encoder to extract body features and a decoder network to drape garments based on spectral decomposition.
Career Highlights
Adam is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and 3D modeling. His work focuses on enhancing the user experience in virtual clothing applications. With a strong background in technology and innovation, Adam continues to push the boundaries of what is possible in garment visualization.
Collaborations
Adam has collaborated with talented individuals such as Junbang Liang and Ming Lin. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in the realm of virtual garment draping.
Conclusion
Adam Douglas Peck is a pioneering inventor whose work in virtual garment draping exemplifies the intersection of technology and fashion. His contributions are paving the way for more realistic and accessible clothing visualization methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
