Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctor of Science, Media Technology, Aalto University, School of Science
Award Date: 16 Nov 2016
Diplomi-insinööri, Tietotekniikan koulutusohjelma, Mediatekniikka, Aalto-yliopisto, Perustieteiden korkeakoulu
Award Date: 1 Mar 2010
Tekniikan kandidaatti, Tietotekniikan koulutusohjelma, Mediatekniikka, Teknillinen korkeakoulu
Award Date: 23 Dec 2008
Fingerprint
Dive into the research topics where Miika Aittala is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analyzing and Improving the Image Quality of StyleGAN: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J. & Aila, T., 2020, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, p. 8107-8116 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Training Generative Adversarial Networks with Limited Data
Karras, T., Aittala, M., Hellsten, J., Laine, S., Lehtinen, J. & Aila, T., 2020, Thirty-fourth Conference on Neural Information Processing Systems. 11 p. (Advances in neural information processing systems; vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Sample-based Monte Carlo Denoising using a Kernel-Splatting Network
Gharbi, M., Li, T-M., Aittala, M., Lehtinen, J. & Durand, F., Jul 2019, In: ACM Transactions on Graphics. 38, 4, 12 p., 125.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile138 Downloads (Pure) -
Differentiable Monte Carlo Ray Tracing Through Edge Sampling
Li, T-M., Aittala, M., Durand, F. & Lehtinen, J., 2018, In: ACM Transactions on Graphics. 37, 6, p. 1-11 222.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile21 Downloads (Pure) -
Noise2Noise: Learning image restoration without clean data
Lehtinen, J., Munkberg, J., Hasselgren, J., Laine, S., Karras, T., Aittala, M. & Aila, T., 1 Jan 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). Vol. 7. p. 4620-4631 12 p. (Proceedings of Machine Learning Research; no. 80).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile99 Citations (Scopus)71 Downloads (Pure)
Projects
- 1 Finished
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Robust Unbiased Image Synthesis
Lehtinen, J., Silvennoinen, A., Aittala, M. & Kettunen, M.
01/09/2014 → 31/08/2018
Project: Academy of Finland: Other research funding
Prizes
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Best PhD Thesis Annual Award
Aittala, Miika (Recipient) & Lehtinen, Jaakko (Supervisor), Sep 2017
Prize: Award or honor granted for a specific work
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Best PhD Thesis Award
Aittala, Miika (Recipient) & Lehtinen, Jaakko (Supervisor), Nov 2017
Prize: Award or honor granted for a specific work
Press / Media
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Image Generation in 10 Minutes with Generative Adversarial Networks
18/09/2020
1 item of Media coverage
Press/Media: Media appearance
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MIT CSAIL: Revealing hidden video from shadows
10/12/2019
1 item of Media coverage
Press/Media: Media appearance
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Google, Intel, MIT, and more: a NeurIPS conference AI research tour
07/12/2019
1 item of Media coverage
Press/Media: Media appearance
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USING COMPUTERS TO VIEW THE UNSEEN
06/12/2019 → 07/12/2019
2 items of Media coverage
Press/Media: Media appearance
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