Shahrukh Athar

Title: Shahrukh Athar: Innovator in Neural 3D Portrait Technology

Introduction

Shahrukh Athar is a prominent inventor based in Stony Brook, NY (US). He has made significant contributions to the field of neural 3D portrait technology, holding 2 patents that showcase his innovative approach to digital imaging and facial representation.

Latest Patents

One of his latest patents is titled "Controllable dynamic appearance for neural 3D portraits." This invention focuses on providing a controllable and dynamic appearance for neural 3D portraits. The method involves projecting color at specific points in a digital video portrait based on various factors such as location, surface normal, and viewing direction. It also includes projecting dynamic face normals that change according to articulated head poses and facial expressions. Furthermore, the method disentangles facial appearances into intrinsic components, allowing for the storage and rendering of a controllable neural 3D portrait.

Another notable patent is "Deformable neural radiance field for editing facial pose and facial expression in neural 3D scenes." This invention involves a scene modeling system that processes a video with multiple frames of an object. It applies a scene representation model to generate deformation points based on the object's pose and expression. The system can modify these attributes and render an updated video accordingly, enhancing the editing capabilities of 3D scenes.

Career Highlights

Shahrukh Athar is currently employed at Adobe, Inc., where he continues to push the boundaries of digital technology. His work at Adobe has allowed him to collaborate with other talented individuals in the field, contributing to advancements in neural imaging.

Collaborations

Some of his notable coworkers include Zhixin Shu and Zexiang Xu, who have also made significant contributions to the field of digital imaging and technology.

Conclusion

Shahrukh Athar's innovative work in neural 3D portrait technology exemplifies the potential of modern digital imaging. His patents reflect a deep understanding of the complexities involved in facial representation and editing, marking him as a key figure in this evolving field.