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Miika Aittala
Miika Aittala
Senior Research Scientist, NVIDIA
Verified email at nvidia.com
Title
Cited by
Cited by
Year
Analyzing and improving the image quality of stylegan
T Karras, S Laine, M Aittala, J Hellsten, J Lehtinen, T Aila
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
57922020
Training generative adversarial networks with limited data
T Karras, M Aittala, J Hellsten, S Laine, J Lehtinen, T Aila
Advances in neural information processing systems 33, 12104-12114, 2020
17602020
Noise2Noise: Learning image restoration without clean data
J Lehtinen, J Munkberg, J Hasselgren, S Laine, T Karras, M Aittala, T Aila
arXiv preprint arXiv:1803.04189, 2018
17142018
Alias-free generative adversarial networks
T Karras, M Aittala, S Laine, E Härkönen, J Hellsten, J Lehtinen, T Aila
Advances in neural information processing systems 34, 852-863, 2021
13422021
Elucidating the design space of diffusion-based generative models
T Karras, M Aittala, T Aila, S Laine
Advances in Neural Information Processing Systems 35, 26565-26577, 2022
8092022
Differentiable monte carlo ray tracing through edge sampling
TM Li, M Aittala, F Durand, J Lehtinen
ACM Transactions on Graphics (TOG) 37 (6), 1-11, 2018
4952018
ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers
Y Balaji, S Nah, X Huang, A Vahdat, J Song, Q Zhang, K Kreis, M Aittala, ...
arXiv preprint arXiv:2211.01324, 2022
4462022
Single-image svbrdf capture with a rendering-aware deep network
V Deschaintre, M Aittala, F Durand, G Drettakis, A Bousseau
ACM Transactions on Graphics (ToG) 37 (4), 1-15, 2018
2442018
Two-shot SVBRDF capture for stationary materials.
M Aittala, T Weyrich, J Lehtinen
ACM Trans. Graph. 34 (4), 110:1-110:13, 2015
1772015
Reflectance modeling by neural texture synthesis
M Aittala, T Aila, J Lehtinen
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
1582016
Practical SVBRDF capture in the frequency domain.
M Aittala, T Weyrich, J Lehtinen
ACM Trans. Graph. 32 (4), 110:1-110:12, 2013
1392013
Burst image deblurring using permutation invariant convolutional neural networks
M Aittala, F Durand
Proceedings of the European conference on computer vision (ECCV), 731-747, 2018
1322018
The role of imagenet classes in fr\'echet inception distance
T Kynkäänniemi, T Karras, M Aittala, T Aila, J Lehtinen
arXiv preprint arXiv:2203.06026, 2022
1272022
Flexible svbrdf capture with a multi‐image deep network
V Deschaintre, M Aittala, F Durand, G Drettakis, A Bousseau
Computer graphics forum 38 (4), 1-13, 2019
1082019
Generative novel view synthesis with 3d-aware diffusion models
ER Chan, K Nagano, MA Chan, AW Bergman, JJ Park, A Levy, M Aittala, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1072023
Mixed reality for mobile construction site visualization and communication
C Woodward, M Hakkarainen, O Korkalo, T Kantonen, M Aittala, K Rainio, ...
Proc. 10th International Conference on Construction Applications of Virtual …, 2010
1072010
Gradient-domain metropolis light transport
J Lehtinen, T Karras, S Laine, M Aittala, F Durand, T Aila
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
1002013
Inverse lighting and photorealistic rendering for augmented reality
M Aittala
The visual computer 26, 669-678, 2010
922010
Sample-based Monte Carlo denoising using a kernel-splatting network
M Gharbi, TM Li, M Aittala, J Lehtinen, F Durand
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
892019
Gradient-domain path tracing
M Kettunen, M Manzi, M Aittala, J Lehtinen, F Durand, M Zwicker
ACM Transactions on Graphics (TOG) 34 (4), 1-13, 2015
892015
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Articles 1–20