AI and Computer Vision Researcher, PhD candidate
Universidad Rey Juan Carlos (URJC), Madrid // Arquimea Research Center, Madrid and Tenerife
I am an Artificial Intelligence and Computer Vision researcher, currently pursuing my Ph.D. in the
field of material digitalization and image intrinsic decomposition using neural networks. My
research focuses on leveraging advanced techniques such as 3D Gaussian Splatting (3DGS) to analyze and
capture materials' visual and mechanical properties in a digital format. I also explore the use of this
digitalized materials in physically based simulation using the Material Point Method (MPM) to create realistic animations.
Additionally, I also have experience in data analysis and data engineering, enabling me to extract
valuable insights and drive impactful outcomes from complex datasets.
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3DGStrands: Personalized 3D Gaussian Splatting for Realistic Hair Representation and Animation Henar Dominguez-Elvira, Mario Alfonso-Arsuaga, Ana Barrueco and Marc Comino-Trinidad COMPUTER AND GRAPHICS and CEIG (Congreso Español de Informática Gráfica), 2025 pdf comming soon... project |
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Practical Methods to Estimate Fabric Mechanics from Metadata Henar Domínguez-Elvira, Alicia Nicas, Gabriel Cirio, Alejandro Rodríguez and Elena Garcés EUROGRAPHICS, 2024 pdf project |
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UMat: Uncertainty-Aware Single Image High Resolution Material Capture Carlos Rodríguez-Pardo, Henar Domínguez-Elvira, David Pascual-Hernandez, Elena Garcés, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 project |