CA

Christian Gagne


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Christian Gagne: Innovator in Digital Imaging Technology

Introduction

Christian Gagne is a notable inventor based in California, recognized for his contributions to the field of digital imaging technology. He holds a patent that showcases his innovative approach to generating light-source-specific parameters for digital images using a neural network. This invention reflects his expertise in blending technology with creative solutions.

Latest Patents

Gagne's patent, titled "Generating light-source-specific parameters for digital images using a neural network," relates to methods, non-transitory computer readable media, and systems that can render a virtual object in a digital image. The patent describes how a source-specific-lighting-estimation-neural network can generate three-dimensional lighting parameters specific to a light source illuminating the digital image. The disclosed systems utilize a compact neural network that comprises both common network layers and those specific to different lighting parameters. Furthermore, the systems are designed to train the neural network to accurately estimate spatially varying lighting in a digital image by comparing predicted environment maps with ground-truth environment maps.

Career Highlights

Throughout his career, Christian Gagne has worked with prominent companies such as Adobe, Inc. and Université Laval. His experience in these organizations has allowed him to refine his skills and contribute significantly to advancements in digital imaging technology.

Collaborations

Gagne has collaborated with talented individuals in his field, including Kalyan Krishna Sunkavalli and Yannick Hold-Geoffroy. These collaborations have fostered innovation and creativity in their projects.

Conclusion

Christian Gagne's work in developing advanced methods for digital imaging demonstrates his commitment to innovation in technology. His patent reflects a significant advancement in the field, showcasing the potential of neural networks in enhancing digital imagery.

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