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Tero Karras
Tero Karras
Verified email at nvidia.com
Title
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Cited by
Year
Progressive growing of gans for improved quality, stability, and variation
T Karras, T Aila, S Laine, J Lehtinen
arXiv preprint arXiv:1710.10196, 2017
45142017
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
41012019
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
17182020
Pruning convolutional neural networks for resource efficient inference
P Molchanov, S Tyree, T Karras, T Aila, J Kautz
arXiv preprint arXiv:1611.06440, 2016
12772016
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
8002018
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
4272020
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
3962019
Efficient sparse voxel octrees
S Laine, T Karras
IEEE Transactions on Visualization and Computer Graphics 17 (8), 1048-1059, 2010
3302010
Pruning convolutional neural networks for resource efficient transfer learning
P Molchanov, S Tyree, T Karras, T Aila, J Kautz
arXiv preprint arXiv:1611.06440 3, 2016
2702016
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
2072017
Maximizing parallelism in the construction of BVHs, octrees, and k-d trees
T Karras
Proceedings of the Fourth ACM SIGGRAPH/Eurographics conference on High …, 2012
2022012
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
1722019
High-quality self-supervised deep image denoising
S Laine, T Karras, J Lehtinen, T Aila
Advances in Neural Information Processing Systems 32, 2019
1442019
Fast parallel construction of high-quality bounding volume hierarchies
T Karras, T Aila
Proceedings of the 5th High-Performance Graphics Conference, 89-99, 2013
1322013
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
1292018
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, 2021
1072021
Megakernels considered harmful: Wavefront path tracing on GPUs
S Laine, T Karras, T Aila
Proceedings of the 5th High-Performance Graphics Conference, 137-143, 2013
1072013
Architecture considerations for tracing incoherent rays
T Aila, T Karras
Proceedings of the Conference on High Performance Graphics, 113-122, 2010
1062010
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
105*2017
Understanding the efficiency of ray traversal on GPUs–Kepler and Fermi addendum
T Aila, S Laine, T Karras
Proceedings of ACM High Performance Graphics, 9-16, 2012
902012
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Articles 1–20