Biography

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.

CV

Research


Selected Journals and Conferences

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

Practical Methods to Estimate Fabric Mechanics from Metadata
Henar Domínguez-Elvira, Alicia Nicas, Gabriel Cirio, Alejandro Rodríguez and Elena Garcés
EUROGRAPHICS, 2024
pdf project

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

Contact

Postal address

Madrid
Spain

Internet

henardoel@gmail.com
linkedin.com/in/henardoel

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