Scholar
Igor Santesteban
Google Scholar ID: TRMAnYsAAAAJ
Meta Reality Labs
Citations & Impact
Citations
762
H-index
7
i10-index
7
Publications
14
Co-authors
5
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Relightable Full-body Gaussian Codec Avatars, SIGGRAPH 2025
- SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars, SIGGRAPH 2025
- PGC: Physics-Based Gaussian Cloth from a Single Pose, CVPR 2025
- FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images, CVPR 2025
- ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On, NeurIPS 2022
- SNUG: Self-Supervised Neural Dynamic Garments, CVPR 2022
- Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On, CVPR 2021
- Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On, SCA 2020
- SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans, Eurographics 2020
- Learning-Based Animation of Clothing for Virtual Try-On, Eurographics 2019
- Procedurally Generated Variations of a 3D Model, CEIG 2018
Research Experience
- Worked at the Codec Avatar team at Meta (2024 – 2025), focusing on creating photorealistic full-body avatars using novel rendering techniques like Gaussian Splatting, and scaling this technology to run efficiently on VR headsets.
Education
- PhD in Computer Graphics at Universidad Rey Juan Carlos (2018 – 2022), supervised by Dan Casas and Miguel A. Otaduy. Thesis: 'Data-driven models of 3D avatars and clothing for virtual try-on'.
Background
- Research Interests: Computer Graphics, Computer Vision, and Machine Learning, with a particular focus on photorealistic human avatars and clothing animation.
