Miika Aittala

About

Starting Nov 2019, I have left MIT and joined NVIDIA Research at Helsinki. Prior to this, I was a postdoctoral researcher at MIT CSAIL, working with prof. Frédo Durand on computer graphics, computer vision and machine learning. My interests include material appearance capture, rendering and light transport, image processing, and deep learning.

I received my M.Sc. and Ph.D. degrees at Aalto University, advised by prof. Jaakko Lehtinen. Prior to my current position, I have also worked at or visited Inria GraphDeco, NVIDIA Research Helsinki (intern), and VTT Technical Research Centre of Finland.

Publications

See my Google Scholar page for an up-to-date publication list.
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, William Freeman, Fredo Durand. Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS 2019 (to appear)
L Murmann, M Gharbi, M Aittala, F Durand. A Dataset of Multi-Illumination Images in the Wild. ICCV 2019
M Gharbi, TM Li, M Aittala, J Lehtinen, F Durand. Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Transactions on Graphics (Proc. SIGGRAPH 2019)
V Deschaintre, M Aittala, F Durand, G Drettakis, A Bousseau. Flexible SVBRDF Capture with a Multi-Image Deep Network. Computer Graphics Forum 38(4) (Proc. EGSR 2019)
Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen. Differentiable Monte Carlo Ray Tracing through Edge Sampling. ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2018)
M Aittala, F Durand. Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. ECCV 2018 (oral) [project page]
J Lehtinen, J Munkberg, J Hasselgren, S Laine, T Karras, M Aittala, T Aila. Noise2Noise: Learning Image Restoration without Clean Data. ICML 2018
Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, Adrien Bousseau. Single-image SVBRDF capture with a rendering-aware deep network. ACM Transactions on Graphics (Proc. SIGGRAPH 2018)
Miika Aittala, Timo Aila, and Jaakko Lehtinen. Reflectance modeling by neural texture synthesis ACM Transactions on Graphics (Proc. SIGGRAPH 2016)
Miika Aittala, Tim Weyrich, and Jaakko Lehtinen. Two-shot SVBRDF Capture for Stationary Materials. ACM Transactions on Graphics (Proc. SIGGRAPH 2015). [project page]
Markus Kettunen, Marco Manzi, Miika Aittala, Jaakko Lehtinen, Fredo Durand, and Matthias Zwicker. Gradient-Domain Path Tracing. ACM Transactions on Graphics (Proc. SIGGRAPH 2015). [project page]
Marco Manzi, Markus Kettunen, Miika Aittala, Jaakko Lehtinen, Fredo Durand, and Matthias Zwicker. Gradient-Domain Bidirectional Path Tracing. In Proc. Eurographics Symposium on Rendering 2015 (Experimental Ideas & Implementations).
Miika Aittala, Tim Weyrich, and Jaakko Lehtinen. Practical SVBRDF Capture in the Frequency Domain. ACM Transactions on Graphics 32(4) (Proc. SIGGRAPH 2013). [project page]
Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, and Timo Aila. Gradient-Domain Metropolis Light Transport. ACM Transactions on Graphics 32(4) (Proc. SIGGRAPH 2013). [project page]
Aittala, Miika. Inverse Lighting and Photorealistic Rendering for Augmented Reality. Visual Computer
Wahlström, M., Aittala M., Kotilainen H., Yli-Karhu T., Porkka J., ja Nykänen E. CAVE for Collaborative Patient Room Design - Analysis with End-User Opinion Contrasting Method. Virtual Reality, 2010: 197-211.

Contact

miika at csail dot mit dot edu