Follow
Timo Aila
Timo Aila
Senior Distinguished Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
A style-based generator architecture for generative adversarial networks
T Karras, S Laine, T Aila
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
106362019
Progressive growing of gans for improved quality, stability, and variation
T Karras, T Aila, S Laine, J Lehtinen
arXiv preprint arXiv:1710.10196, 2017
80842017
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
57752020
Temporal ensembling for semi-supervised learning
S Laine, T Aila
arXiv preprint arXiv:1610.02242, 2016
28982016
Pruning convolutional neural networks for resource efficient inference
P Molchanov, S Tyree, T Karras, T Aila, J Kautz
Proc. ICLR 2017, 2016
2593*2016
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
17562020
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
17132018
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
13342021
Few-shot unsupervised image-to-image translation
MY Liu, X Huang, A Mallya, T Karras, T Aila, J Lehtinen, J Kautz
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
8142019
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
8052022
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, 2019
5972019
Understanding the efficiency of ray traversal on GPUs
T Aila, S Laine
Proceedings of High Performance Graphics 2009, 145-149, 2009
5972009
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
4442022
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
4162017
Semi-supervised semantic segmentation needs strong, varied perturbations
G French, S Laine, T Aila, M Mackiewicz, G Finlayson
arXiv preprint arXiv:1906.01916, 2019
3792019
Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder
CRA Chaitanya, AS Kaplanyan, C Schied, M Salvi, A Lefohn, ...
ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017
3452017
High-quality self-supervised deep image denoising
S Laine, T Karras, J Lehtinen, T Aila
Advances in Neural Information Processing Systems 32, 2019
3302019
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
2832020
Incremental Instant Radiosity for Real-Time Indirect Illumination.
S Laine, H Saransaari, J Kontkanen, J Lehtinen, T Aila
Rendering Techniques, 277-286, 2007
1782007
Fast parallel construction of high-quality bounding volume hierarchies
T Karras, T Aila
Proceedings of the 5th High-Performance Graphics Conference, 89-99, 2013
1712013
The system can't perform the operation now. Try again later.
Articles 1–20