Madrid, Spain

Dan Casas


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Dan Casas: Innovator in Virtual Try-On Technology

Introduction

Dan Casas is a prominent inventor based in Madrid, Spain. He has made significant contributions to the field of virtual try-on technology, focusing on enhancing the user experience through innovative methods. With a total of 2 patents, his work is paving the way for advancements in clothing simulation.

Latest Patents

One of Dan's latest patents is titled "Learning-based animation of clothing for virtual try-on." This invention provides a highly efficient method and system for simulating clothing on virtual models. The system preprocesses a rich database of physically-based dressed character simulations, accommodating multiple body shapes and animations. It trains a learning-based model to accurately represent cloth drape and wrinkles, taking into account body shape and dynamics. The model effectively separates global garment fit from local garment wrinkles, enhancing realism in virtual try-on experiences. A recurrent neural network is utilized to regress garment wrinkles, achieving highly plausible nonlinear effects, which contrasts with the blending artifacts seen in previous methods.

Career Highlights

Dan is currently employed at Seddi, Inc., where he continues to innovate in the realm of virtual clothing simulations. His work is instrumental in developing technologies that improve how consumers interact with clothing online.

Collaborations

Dan collaborates with talented individuals such as Igor Santesteban and Miguel A Otaduy, contributing to a dynamic team focused on pushing the boundaries of virtual try-on technology.

Conclusion

Dan Casas is a key figure in the development of virtual try-on technology, with his innovative patents significantly impacting the industry. His work at Seddi, Inc. and collaborations with skilled professionals further enhance the potential of virtual clothing simulations.

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