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Samuli Laine
Samuli Laine
Distinguished Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Progressive growing of gans for improved quality, stability, and variation
T Karras, T Aila, S Laine, J Lehtinen
International Conference on Learning Representations (ICLR) 2018, 2017
49762017
A style-based generator architecture for generative adversarial networks
T Karras, S Laine, T Aila
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2018
47872018
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
21502020
Temporal ensembling for semi-supervised learning
S Laine, T Aila
International Conference on Learning Representations (ICLR) 2017, 2016
16482016
Noise2noise: Learning image restoration without clean data
J Lehtinen, J Munkberg, J Hasselgren, S Laine, T Karras, M Aittala, T Aila
International Conference on Machine Learning (ICML) 2018, 2018
8862018
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, 2020
5602020
Understanding the efficiency of ray traversal on GPUs
T Aila, S Laine
Proceedings of High Performance Graphics 2009, 145-149, 2009
5582009
Efficient sparse voxel octrees
S Laine, T Karras
IEEE Transactions on Visualization and Computer Graphics 17 (8), 1048-1059, 2011
3422011
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
2242017
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
2222021
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
2022019
Ambient occlusion fields
J Kontkanen, S Laine
Proceedings of the 2005 symposium on Interactive 3D graphics and games, 41-48, 2005
1832005
Incremental instant radiosity for real-time indirect illumination
S Laine, H Saransaari, J Kontkanen, J Lehtinen, T Aila
Proceedings of Eurographics Symposium on Rendering 2007, 277-286, 2007
1752007
High-quality self-supervised deep image denoising
S Laine, T Karras, J Lehtinen, T Aila
Advances in Neural Information Processing Systems, 6970-6980, 2019
1692019
Semi-supervised semantic segmentation needs strong, varied perturbations
G French, S Laine, T Aila, M Mackiewicz
158*2019
Alias-free shadow maps
T Aila, S Laine
Proceedings of Eurographics Symposium on Rendering 2004, 161-166, 2004
1462004
Accelerated beam tracing algorithm
S Laine, S Siltanen, T Lokki, L Savioja
Applied Acoustics 70 (1), 172-181, 2009
1232009
Temporal light field reconstruction for rendering distribution effects
J Lehtinen, T Aila, J Chen, S Laine, F Durand
ACM Transactions on Graphics (TOG) 30 (4), 55, 2011
1142011
Megakernels considered harmful: wavefront path tracing on GPUs
S Laine, T Karras, T Aila
Proceedings of High Performance Graphics 2013, 137-143, 2013
1122013
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, 10, 2017
109*2017
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