Seuraa
Jaakko Lehtinen
Jaakko Lehtinen
Associate Professor of Computer Science, Aalto University & Distinguished Research Scientist, NVIDIA
Vahvistettu sähköpostiosoite verkkotunnuksessa aalto.fi - Kotisivu
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Vuosi
Progressive growing of GANs for improved quality, stability, and variation
T Karras, T Aila, S Laine, J Lehtinen
International Conference on Learning Representations (ICLR), 2018
56982018
Analyzing and improving the image quality of StyleGAN
T Karras, S Laine, M Aittala, J Hellsten, J Lehtinen, T Aila
Proc. Computer Vision and Pattern Recognition (CVPR), 2020
30452020
Noise2Noise: Learning image restoration without clean data
J Lehtinen, J Munkberg, J Hasselgren, S Laine, T Karras, M Aittala, T Aila
International Conference on Machine Learning (ICML), 2018
10582018
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 (NeurIPS 2020), 2020
8582020
Few-shot unsupervised image-to-image translation
MY Liu, X Huang, A Mallya, T Karras, T Aila, J Lehtinen, J Kautz
International Conference on Computer Vision (ICCV) 2019, 2019
5432019
GANSpace: Discovering Interpretable GAN Controls
E Härkönen, A Hertzmann, J Lehtinen, S Paris
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
4912020
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
4882021
Differentiable Monte Carlo Ray Tracing through Edge Sampling
TM Li, M Aittala, F Durand, J Lehtinen
ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2018) 37 (6), Article 222, 2018
3482018
Improved precision and recall metric for assessing generative models
T Kynkäänniemi, T Karras, S Laine, J Lehtinen, T Aila
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
2792019
Audio-driven facial animation by joint end-to-end learning of pose and emotion
T Karras, T Aila, S Laine, A Herva, J Lehtinen
ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017
2692017
Learning to predict 3D objects with an interpolation-based differentiable renderer
W Chen, H Ling, J Gao, E Smith, J Lehtinen, A Jacobson, S Fidler
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 9605-9616, 2019
2502019
High-quality self-supervised deep image denoising
S Laine, T Karras, J Lehtinen, T Aila
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
2072019
Incremental instant radiosity for real-time indirect illumination
S Laine, H Saransaari, J Lehtinen, J Kontkanen, T Aila
Proc. Eurographics Symposium on Rendering 2007, 4-8, 2007
1802007
Recent advances in adaptive sampling and reconstruction for Monte Carlo rendering
M Zwicker, W Jarosz, J Lehtinen, B Moon, R Ramamoorthi, F Rousselle, ...
Computer Graphics Forum 34 (2), 667-681, 2015
1502015
Two-shot SVBRDF capture for stationary materials
M Aittala, T Weyrich, J Lehtinen
ACM Transactions on Graphics 34 (4), 110, 2015
1392015
Reflectance modeling by neural texture synthesis
M Aittala, T Aila, J Lehtinen
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
1302016
Matrix radiance transfer
J Lehtinen, J Kautz
Proceedings of the 2003 symposium on Interactive 3D graphics, 59-64, 2003
1252003
Production-level facial performance capture using deep convolutional neural networks
S Laine, T Karras, T Aila, A Herva, S Saito, R Yu, H Li, J Lehtinen
Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation …, 2017
1182017
Temporal light field reconstruction for rendering distribution effects
J Lehtinen, T Aila, J Chen, S Laine, F Durand
ACM SIGGRAPH 2011 papers, 1-12, 2011
1182011
Practical SVBRDF capture in the frequency domain.
M Aittala, T Weyrich, J Lehtinen
ACM Trans. Graph. 32 (4), 110:1-110:12, 2013
1152013
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Artikkelit 1–20