Publications
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Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics
Michael Fischer, Tobias Ritschel
SIGGRAPH 2024
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Neural Bounding
Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel
SIGGRAPH 2024
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NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc, Aljaž Božič, Zhao Dong, Tobias Ritschel, Carl Marshall
CVPR 2024
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Advanced Optimization for Machine Learning in Computer Graphics
Michael Fischer
Eurographics 2024, Doctoral Consortium
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Plateau-Reduced Differentiable Path Tracing
Michael Fischer, Tobias Ritschel
CVPR 2023
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Learning to Learn and Sample BRDFs
Chen Liu, Michael Fischer, Tobias Ritschel
Eurographics 2023
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Metappearance: Meta-Learning for Visual Appearance Reproduction
Michael Fischer, Tobias Ritschel
SIGGRAPH Asia 2022, Journal Track
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NICER: Aesthetic Image Enhancement with Humans in the Loop
Michael Fischer, Konstantin Kobs, Andreas Hotho
Advances in Computer-Human Interactions (ACHI) 2020
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Using Neural Networks as a Metric Towards Optimal Automated Image Enhancement Michael Fischer, Konstantin Kobs, Andreas Hotho, Frank Puppe
Master's Thesis in Computer Science, JMU Wuerzburg
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COSMOPALS: Component Simulation Model for Pulse-Shape Analysis in Positron Annihilation Lifetime Spectroscopy
Michael Fischer, Danny Petschke, Torsten Staab, Sergio Montenegro
Bachelor's Thesis in Aerospace Information Technology, JMU Wuerzburg
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