| Progressive growing of gans for improved quality, stability, and variation T Karras, T Aila, S Laine, J Lehtinen arXiv preprint arXiv:1710.10196, 2017 | 2551 | 2017 |
| A style-based generator architecture for generative adversarial networks T Karras, S Laine, T Aila Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 1574 | 2019 |
| Pruning convolutional neural networks for resource efficient inference P Molchanov, S Tyree, T Karras, T Aila, J Kautz arXiv preprint arXiv:1611.06440, 2016 | 881 | 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 | 377 | 2018 |
| 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 | 311 | 2020 |
| Efficient sparse voxel octrees S Laine, T Karras IEEE Transactions on Visualization and Computer Graphics 17 (8), 1048-1059, 2010 | 292 | 2010 |
| 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 | 176 | 2012 |
| 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 International Conference on Computer Vision, 10551-10560, 2019 | 149 | 2019 |
| 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 | 139 | 2017 |
| Fast parallel construction of high-quality bounding volume hierarchies T Karras, T Aila Proceedings of the 5th High-Performance Graphics Conference, 89-99, 2013 | 117 | 2013 |
| Architecture considerations for tracing incoherent rays T Aila, T Karras Proceedings of the Conference on High Performance Graphics, 113-122, 2010 | 94 | 2010 |
| 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 | 93 | 2013 |
| Understanding the efficiency of ray traversal on GPUs–Kepler and Fermi addendum T Aila, S Laine, T Karras NVIDIA Corporation, NVIDIA Technical Report NVR-2012-02, 2012 | 88 | 2012 |
| High-performance software rasterization on GPUs S Laine, T Karras Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, 79-88, 2011 | 71 | 2011 |
| 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 | 69 | 2017 |
| Gradient-domain metropolis light transport J Lehtinen, T Karras, S Laine, M Aittala, F Durand, T Aila ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013 | 68 | 2013 |
| Efficient sparse voxel octrees–analysis, extensions, and implementation S Laine, T Karras NVIDIA Corporation 2, 2010 | 51 | 2010 |
| High-quality self-supervised deep image denoising S Laine, T Karras, J Lehtinen, T Aila Advances in Neural Information Processing Systems, 6970-6980, 2019 | 50 | 2019 |
| 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, 3927-3936, 2019 | 50 | 2019 |
| On quality metrics of bounding volume hierarchies T Aila, T Karras, S Laine Proceedings of the 5th High-Performance Graphics Conference, 101-107, 2013 | 50 | 2013 |
