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Timo Aila
Timo Aila
Senior Distinguished Research Scientist, NVIDIA
Dirección de correo verificada de nvidia.com - Página principal
Título
Citado por
Citado por
Año
A Style-Based Generator Architecture for Generative Adversarial Networks
T Karras
arXiv preprint arXiv:1812.04948, 2019
132622019
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T Karras
arXiv preprint arXiv:1710.10196, 2017
92632017
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
72572020
Temporal ensembling for semi-supervised learning
S Laine, T Aila
arXiv preprint arXiv:1610.02242, 2016
33682016
Pruning convolutional neural networks for resource efficient inference
P Molchanov, S Tyree, T Karras, T Aila, J Kautz
Proc. ICLR 2017, 2016
2984*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
22122020
Noise2Noise: Learning Image Restoration without Clean Data
J Lehtinen
arXiv preprint arXiv:1803.04189, 2018
20712018
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
17992021
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
16202022
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
9682019
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
8412019
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
7342022
Understanding the efficiency of ray traversal on GPUs
T Aila, S Laine
Proceedings of High Performance Graphics 2009, 145-149, 2009
6192009
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
4962018
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
4942017
Semi-supervised semantic segmentation needs strong, varied perturbations
G French, S Laine, T Aila, M Mackiewicz, G Finlayson
arXiv preprint arXiv:1906.01916, 2019
4612019
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
4342020
High-quality self-supervised deep image denoising
S Laine, T Karras, J Lehtinen, T Aila
Advances in Neural Information Processing Systems 32, 2019
4032019
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
3852017
Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis
A Sauer, T Karras, S Laine, A Geiger, T Aila
International conference on machine learning, 30105-30118, 2023
2292023
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Artículos 1–20