Karol Myszkowski

Karol Myszkowski is a Professor in the Department of Computer Graphics at the Max Planck Institute for Informatics in Saarbrücken, Germany. His research spans realistic image synthesis, high dynamic range imaging, and perception issues in computer graphics. He leads a research group that investigates the intersection of human visual perception and computer graphics techniques to develop more realistic rendering solutions.

• Institution: Max Planck Institute for Informatics
• Department: Computer Graphics (Department 4)
• Location: Campus E1 4, Room 229, Saarbrücken, Germany

His research interests focus on realistic image synthesis and global illumination, high dynamic range imaging techniques, stereo 3D visualization, eye tracking applications, computational displays, appearance fabrication, and perception issues in computer graphics. He investigates how human visual perception interacts with rendering techniques to create more efficient and realistic graphics solutions for virtual and augmented reality applications.

Recent publications (2023-2025) show a strong trend toward neural rendering techniques, particularly for high dynamic range content processing and generation. His work increasingly integrates deep learning approaches with traditional computer graphics methods, focusing on perception-guided solutions that optimize visual quality according to human visual system characteristics. Key areas include HDR image/video processing, neural radiance fields, image/video deblurring, and multisensory perception studies.

• Current PhD Students: Martin Bálint, Daniel Jiménez Navarro
• Former PhD Students: 17 including Mojtaba Bemana, Chao Wang, and Krzysztof Wolski
• Current Postdoc: Colin Groth
• Former Postdocs: 11 including Gurprit Singh and Bin Chen

His research group collaborates extensively within the Max Planck Institute for Informatics and with other international institutions. The team focuses on bridging the gap between computer graphics techniques and human visual perception, developing novel methods for realistic image synthesis, high dynamic range imaging, and perception-aware rendering solutions for virtual and augmented reality applications.