| 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 | 412 | 2018 |
| 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 | 383 | 2020 |
| 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 | 138 | 2018 |
| Two-shot SVBRDF capture for stationary materials. M Aittala, T Weyrich, J Lehtinen ACM Trans. Graph. 34 (4), 110:1-110:13, 2015 | 111 | 2015 |
| Practical SVBRDF capture in the frequency domain. M Aittala, T Weyrich, J Lehtinen ACM Trans. Graph. 32 (4), 110:1-110:12, 2013 | 96 | 2013 |
| Reflectance modeling by neural texture synthesis M Aittala, T Aila, J Lehtinen ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016 | 85 | 2016 |
| 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 | 80 | 2018 |
| 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 | 78 | 2010 |
| Inverse lighting and photorealistic rendering for augmented reality M Aittala The visual computer 26 (6), 669-678, 2010 | 71 | 2010 |
| 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 | 68 | 2013 |
| 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 | 61 | 2018 |
| 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 | 49 | 2015 |
| Light-weight marker hiding for augmented reality O Korkalo, M Aittala, S Siltanen 2010 IEEE International Symposium on Mixed and Augmented Reality, 247-248, 2010 | 33 | 2010 |
| Training generative adversarial networks with limited data T Karras, M Aittala, J Hellsten, S Laine, J Lehtinen, T Aila arXiv preprint arXiv:2006.06676, 2020 | 31 | 2020 |
| 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 | 25 | 2019 |
| 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 | 24 | 2019 |
| Gradient-domain bidirectional path tracing M Manzi, M Kettunen, M Aittala, J Lehtinen, F Durand, M Zwicker Eurographics Association, 2015 | 21 | 2015 |
| CAVE for collaborative patient room design: analysis with end-user opinion contrasting method M Wahlström, M Aittala, H Kotilainen, T Yli-Karhu, J Porkka, E Nykänen Virtual Reality 14 (3), 197-211, 2010 | 19 | 2010 |
| Generating training data for denoising real rgb images via camera pipeline simulation R Jaroensri, C Biscarrat, M Aittala, F Durand arXiv preprint arXiv:1904.08825, 2019 | 13 | 2019 |
| A dataset of multi-illumination images in the wild L Murmann, M Gharbi, M Aittala, F Durand Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 13 | 2019 |
