
About
Mojtaba Bemana is a researcher in the Computer Graphics department at the Max Planck Institute for Informatics, Saarbrücken, Germany, specializing in neural rendering, virtual reality displays, and computational photography. His work bridges computer graphics and vision with deep learning applications.
His academic background includes:
- Ph.D. in Computer Science from Universität des Saarlandes and Max Planck Institute for Informatics (2018-2023)
- M.Sc. in Electrical Engineering from Sharif University of Technology, Iran (2014-2016), thesis: 'Novel view synthesis using the Light Field camera' supervised by Dr. Arash Amini
- B.Sc. in Electrical Engineering from Shiraz University, Iran (2010-2014)
Dr. Bemana's research focuses on high dynamic range imaging, neural radiance fields, and perception-aware image processing. He develops novel techniques combining classical computer graphics with deep learning for real-time rendering, image quality assessment, and video enhancement. His methodology emphasizes perceptual accuracy and computational efficiency in virtual reality applications.
Analysis of his 12 publications (2019-2025) reveals a strong trajectory toward diffusion-based HDR generation, real-time radiance field rendering, and self-supervised video processing. Key trends include the integration of physics-based models with neural networks for refractive effects, dual-exposure sensor optimization, and perceptual quality metrics that eliminate reference image dependencies.
He actively contributes to the Saarbrücken Research Center for Visual Computing, Interaction and Artificial Intelligence (VIA) and the European Laboratory for Learning and Intelligent Systems (ELLIS Unit SAM), collaborating on cutting-edge visual computing projects within the Saarland Informatics Campus ecosystem.
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