Mont-Royal, Canada

Boris Oreshkin

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Boris Oreshkin

Introduction

Boris Oreshkin is a notable inventor based in Mont-Royal, Canada. He has made significant contributions to the field of animation and character design through his innovative patents. With a total of two patents to his name, Oreshkin is recognized for his expertise in utilizing deep learning techniques to enhance character animations.

Latest Patents

Oreshkin's latest patents focus on a system and method for generating character poses using deep learning. This method involves generating or modifying poses in an animation of a character. It combines variable numbers and types of supplied inputs into a single input, which corresponds to one or more effector constraints for the character's joints. The single input is then transformed into a pose embedding, which includes a machine-learned representation of the input. This pose embedding is further expanded into a pose representation output, containing local rotation data and global position data for the character's joints.

Career Highlights

Boris Oreshkin currently works at Unity Ipr Aps, a company known for its advancements in real-time 3D development. His work at Unity has allowed him to push the boundaries of animation technology, making significant strides in how characters are animated and interacted with in digital environments.

Collaborations

Oreshkin collaborates with talented individuals such as Dominic Laflamme and Florent Benjamin Bocquelet. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies in animation.

Conclusion

Boris Oreshkin's contributions to the field of animation through his innovative patents and collaborations highlight his role as a leading inventor in the industry. His work continues to influence the way characters are animated, showcasing the potential of deep learning in creative applications.

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