Martin Bálint

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Max-Planck-Institut für Informatik
Department 4: Computer Graphics
Denoising, Deep Learning, Sampling, Monte Carlo

office:	Campus E1 4, Room 226 Saarland Informatics Campus 66123 Saarbrücken Germany
email:	Get my email address via email
phone:	+49 681 9325-4126
website:	www.balint.io

Learning Neural Antiderivatives

Fizza Rubab, Ntumba Elie Nsampi, Martin Bálint, Felix Mujkanovic, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler

Vision, Modeling, and Visualization 2025

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Histogram Stratification for Spatio-Temporal Reservoir Sampling

Corentin Salaün, Martin Bálint, Laurent Belcour, Eric Heitz, Gurprit Singh, Karol Myszkowski

SIGGRAPH 2025 Conference Proceedings

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Self-Supervised Video Defocus Deblurring with Atlas Learning

Lingyan Ruan, Martin Bálint, Mojtaba Bemana, Krzysztof Wolski, Hans-Peter Seidel, Karol Myszkowski, Bin Chen

SIGGRAPH 2024 Conference Proceedings

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Joint Sampling and Optimisation for Inverse Rendering

Martin Bálint, Karol Myszkowski, Hans-Peter Seidel, Gurprit Singh

SIGGRAPH Asia 2023 Conference Proceedings

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Neural Partitioning Pyramids for Denoising Monte Carlo Renderings

Martin Bálint, Krzysztof Wolski, Karol Myszkowski, Hans-Peter Seidel, Rafał K. Mantiuk

SIGGRAPH 2023 Conference Proceedings

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Closed Form Transmittance in Heterogeneous Media Using Cosine Noise

Martin Bálint, Rafał K. Mantiuk

CESCG 2019 Proceedings

Best Paper Award

2018 - 2021:
Computer Science, Bachelor of Arts
University of Cambridge, Churchill College
Thesis Topic: Towards Predictable Transactional Memory