Paris, France

Arthur Roullier

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Adobe, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Arthur Roullier. Retrieved from https://idiyas.com/inventor/arthur-roullier

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Arthur Roullier - Innovator in Digital Material Generation

Introduction

Arthur Roullier is an inventor based in Paris, France. He is known for his innovative approach to generating digital materials from digital images using advanced neural network techniques. His work focuses on the intersection of technology and creativity, aiming to replicate scenes as digital materials.

Latest Patent Applications

Arthur Roullier has filed a patent application titled "GENERATING DIGITAL MATERIALS FROM DIGITAL IMAGES USING A CONTROLLED DIFFUSION NEURAL NETWORK." This application describes systems, methods, and non-transitory computer-readable media that generate digital materials from digital images through a diffusion neural network. The disclosed systems receive a digital image portraying a scene to be replicated as a digital material. They generate a spatial condition from the digital image using a conditioning neural network. Based on this spatial condition, the systems utilize a controlled diffusion neural network to create a plurality of material maps corresponding to the scene depicted in the digital image.

Conclusion

Arthur Roullier's contributions to the field of digital material generation highlight the potential of neural networks in transforming digital images into tangible materials. His innovative approach paves the way for future advancements in this exciting area of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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