| Progressive growing of gans for improved quality, stability, and variation T Karras, T Aila, S Laine, J Lehtinen arXiv preprint arXiv:1710.10196, 2017 | 4514 | 2017 |
| 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 | 4101 | 2019 |
| 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 | 1718 | 2020 |
| Pruning convolutional neural networks for resource efficient inference P Molchanov, S Tyree, T Karras, T Aila, J Kautz arXiv preprint arXiv:1611.06440, 2016 | 1277 | 2016 |
| 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 | 800 | 2018 |
| 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 | 427 | 2020 |
| 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 | 396 | 2019 |
| Efficient sparse voxel octrees S Laine, T Karras IEEE Transactions on Visualization and Computer Graphics 17 (8), 1048-1059, 2010 | 330 | 2010 |
| 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 | 270 | 2016 |
| 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 | 207 | 2017 |
| 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 | 202 | 2012 |
| 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 | 172 | 2019 |
| High-quality self-supervised deep image denoising S Laine, T Karras, J Lehtinen, T Aila Advances in Neural Information Processing Systems 32, 2019 | 144 | 2019 |
| Fast parallel construction of high-quality bounding volume hierarchies T Karras, T Aila Proceedings of the 5th High-Performance Graphics Conference, 89-99, 2013 | 132 | 2013 |
| 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 | 129 | 2018 |
| 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 | 107 | 2021 |
| 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 | 107 | 2013 |
| Architecture considerations for tracing incoherent rays T Aila, T Karras Proceedings of the Conference on High Performance Graphics, 113-122, 2010 | 106 | 2010 |
| 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 | 90 | 2012 |
