Education
PhDKing Abdullah University of Science and Technology – Thuwal, KSA
2017 – 2023Computer Science | GPA: 4.0
MScVienna University of Technology – Vienna, Austria
2015Visual Computing | graduated with distinction
BScVienna University of Technology – Vienna, Austria
2011Media Informatics and Visual Computing
Publications
IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models
Jundan Luo,
Duygu Ceylan,
Jae Shin Yoon,
Nanxuan Zhao,
Julien Philip,
Anna Frühstück,
Wenbin Li,
Christian Richardt and
Tuanfeng Wang
SIGGRAPH 2024.
Anna Frühstück,
Nikolaos Sarafianos,
Yuanlu Xu,
Peter Wonka and
Tony Tung
CVPR 2023.
On the Robustness of Quality Measures for GANs
Motasem Alfarra,
Juan C. Pérez,
Anna Frühstück,
Philip H. S. Torr,
Peter Wonka and
Bernard Ghanem
ECCV 2022.
Anna Frühstück,
Krishna Kumar Singh,
Eli Shechtman,
Niloy J. Mitra,
Peter Wonka and
Jingwan Lu
CVPR 2022.
Large Scale Architectural Asset Extraction from Panoramic Imagery
Peihao Zhu,
Wamiq Para,
Anna Frühstück,
John Femiani and
Peter Wonka
IEEE Transactions in Visualization and Computer Graphics (TVCG) 2020.
Anna Frühstück,
Ibraheem Alhashim and
Peter Wonka
ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2019.
Professional Experience
Reviewer for ECCV, CVPR, ICCV, SIGGRAPH, TVCG, TOG, TOMM
2022Intern at Meta Reality Labs Research – Sausalito, CA
Investigating 3D-aware generation as a tool for context-aware video editing to unlock realistic 3D editing for human faces in a temporally constistent fashion.
2020Intern at Adobe Research – remote due to COVID-19
Designing strategies for controllable image synthesis of large-scale photorealistic full-body human images using state-of-the-art machine learning techniques.
2020Intern at Weta Digital – remote due to COVID-19
Designing and evaluating state-of-the art Generative Adversarial Networks for high-resolution texture synthesis. Research on how to dissect GAN models for improved controllability for user interaction.
2016Trainee at SPL, Harvard Medical School – Boston, MA
Implementation of GPU-accelerated browser-based visualization software. Design and development of user interface components for web-based imaging. Browser-based GPU processing through grid-based PDE solver for 2D and 3D image segmentation. Integration with open-source visualization and medical imaging software 3D Slicer
2015Visiting Researcher at KAUST – Thuwal, KSA
2010 – 2012Software Developer at SimVis – Vienna, Austria
Independent design and development of different components of the visualization software SimVis for the interactive visual analysis of time-dependent and multi-dimensional data, e.g. computational fluid dynamics, climate research, architectural flow visualization
Awards
Teaching and Mentorship
2021 – 2022Student Ambassador for CEMSE Division at KAUST
2021 & 2019Teaching Assistant for Deep Learning for Visual Computing (CS323) at KAUST
