Follow
Jaakko Lehtinen
Jaakko Lehtinen
Associate Professor, Aalto University & Distinguished Research Scientist, NVIDIA
Verified email at aalto.fi - Homepage
Title
Cited by
Cited by
Year
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
49122018
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
21172020
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
8832018
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
5542020
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
4362019
GANSpace: Discovering Interpretable GAN Controls
E Härkönen, A Hertzmann, J Lehtinen, S Paris
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
3302020
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
2912018
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
2242017
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
2142021
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
2042019
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
1982019
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
1752007
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
1672015
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
1642019
Two-shot SVBRDF capture for stationary materials
M Aittala, T Weyrich, J Lehtinen
ACM Transactions on Graphics 34 (4), 110, 2015
1332015
Matrix radiance transfer
J Lehtinen, J Kautz
Proceedings of the 2003 symposium on Interactive 3D graphics, 59-64, 2003
1262003
Reflectance modeling by neural texture synthesis
M Aittala, T Aila, J Lehtinen
ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016
1172016
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
1132011
Decoupled sampling for graphics pipelines
J Ragan-Kelley, J Lehtinen, J Chen, M Doggett, F Durand
ACM Transactions on Graphics (TOG) 30 (3), 1-17, 2011
1122011
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
108*2017
The system can't perform the operation now. Try again later.
Articles 1–20