Mohamed Shawky Sabae

Mohamed Shawky Sabae

I am a PhD student in the Computer Graphics research group at Eberhard Karls University of Tübingen, supervised by Prof. Dr.-Ing. Hendrik PA Lensch. I am also a scholar at the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

My research focuses on inverse rendering and 3D/4D scene reconstruction. I am particularly interested in material-illumination decomposition of dynamic scenes.

Before starting my PhD, I worked as a Computer Vision Engineer at Rembrand, where I developed generative AI and 3D reconstruction solutions for virtual product placement. I received my Bachelor's and Master's degrees in Computer Engineering from Cairo University. My Master's thesis studied neural implicit 3D reconstruction without known camera parameters.

Research Interests: Computer Vision, Computer Graphics, Inverse Rendering, 3D/4D Reconstruction.

Publications

StyleT2F preview

StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2

Mohamed Shawky Sabae, Mohamed Ahmed Dardir, Remonda Talaat Eskarous, Mohamed Ramzy Ebbed. arXiv Preprint, 2022.

Page Paper Code

Experience

Doctoral Researcher

Eberhard Karls University of Tübingen

February 2026 - Present

  • Researching inverse rendering methods for 3D/4D scene reconstruction and material-illumination decomposition.
  • Conducting tutorials and lab sessions for courses in the Computer Graphics group, Department of Computer Science.

IMPRS-IS Scholar

International Max Planck Research School for Intelligent Systems

February 2026 - Present

  • Participating in the IMPRS-IS PhD program.

Computer Vision Engineer

Rembrand

March 2023 - January 2026

  • Developed computer vision and generative AI solutions for virtual product placement in video.
  • Worked on inverse rendering methods for material-illumination decomposition from RGB images.
  • Designed 3D reconstruction pipelines for recovering camera parameters and scene geometry from videos.

Teaching Assistant

Faculty of Engineering, Cairo University

December 2022 - January 2026

  • Handled recitations and labs in the Computer Engineering department.
  • Courses: Computer Vision, Computer Graphics, Machine Learning, Neural Networks, Cognitive Robotics.

Computer Vision Engineer

Anovate.ai

August 2021 - February 2023

  • Worked on deep learning applications for 3D scene understanding and reconstruction.
  • Developed mesh-processing pipelines and deployed high-performance models with NVIDIA Triton.

Deep Learning Research Intern

Valeo

July 2019 - September 2019

  • Studied neural style transfer for modeling sensor noise.
  • Applied CycleGAN domain translation to LiDAR data for improved object detection.

Education

Doctor of Philosophy (PhD), Computer Science

Faculty of Science, Eberhard Karls University of Tübingen

February 2026 - Present

Computer Graphics Research Group. Research area: computer graphics and vision.

Master of Science (MSc), Computer Engineering

Faculty of Engineering, Cairo University

October 2022 - January 2025

GPA: 3.97. Thesis: Neural Implicit Camera and Geometry Representations for Multiview 3D Reconstruction Without Camera Parameters.

Bachelor of Science (BSc), Computer Engineering

Faculty of Engineering, Cairo University

September 2016 - May 2021

Grade: Distinction with Honors. Rank: 4th out of 71. Thesis: Face Generation from Text using StyleGAN2.