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Jaakko Lehtinen
Jaakko Lehtinen
Associate Professor, Aalto University & Distinguished Research Scientist, NVIDIA
Bestätigte E-Mail-Adresse bei aalto.fi - Startseite
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Zitiert von
Zitiert von
Jahr
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
86032018
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
65312020
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
19702020
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
18922018
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
15572021
GANSpace: Discovering Interpretable GAN Controls
E Härkönen, A Hertzmann, J Lehtinen, S Paris
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
9342020
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
8692019
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
7182019
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
5332018
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
4692017
Progressive growing of gans for improved quality, stability, and variation. arXiv 2017
T Karras, T Aila, S Laine, J Lehtinen
arXiv preprint arXiv:1710.10196, 1-26, 2018
4562018
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
4152019
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
3652019
Modular primitives for high-performance differentiable rendering
S Laine, J Hellsten, T Karras, Y Seol, J Lehtinen, T Aila
ACM Transactions on Graphics (ToG) 39 (6), 1-14, 2020
3642020
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
2202015
Two-shot SVBRDF capture for stationary materials
M Aittala, T Weyrich, J Lehtinen
ACM Transactions on Graphics 34 (4), 110, 2015
1832015
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
1812007
Reflectance modeling by neural texture synthesis
M Aittala, T Aila, J Lehtinen
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
1682016
The Role of ImageNet Classes in Fréchet Inception Distance
T Kynkäänniemi, T Karras, M Aittala, T Aila, J Lehtinen
International Conference on Learning Representations (ICLR), 2022
1632022
Practical SVBRDF capture in the frequency domain.
M Aittala, T Weyrich, J Lehtinen
ACM Trans. Graph. 32 (4), 110:1-110:12, 2013
1452013
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