Samuli Laine
Samuli Laine
Principal Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
TitleCited byYear
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
9722017
Understanding the efficiency of ray traversal on GPUs
T Aila, S Laine
Proceedings of High Performance Graphics 2009, 145-149, 2009
4712009
Temporal ensembling for semi-supervised learning
S Laine, T Aila
International Conference on Learning Representations (ICLR) 2017, 2016
2472016
Efficient sparse voxel octrees
S Laine, T Karras
IEEE Transactions on Visualization and Computer Graphics 17 (8), 1048-1059, 2011
2292011
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
2242018
Ambient occlusion fields
J Kontkanen, S Laine
Proceedings of the 2005 symposium on Interactive 3D graphics and games, 41-48, 2005
1662005
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
1542007
Alias-free shadow maps
T Aila, S Laine
Proceedings of Eurographics Symposium on Rendering 2004, 161-166, 2004
1332004
Accelerated beam tracing algorithm
S Laine, S Siltanen, T Lokki, L Savioja
Applied Acoustics 70 (1), 172-181, 2009
1032009
Soft shadow volumes for ray tracing
S Laine, T Aila, U Assarsson, J Lehtinen, T Akenine-Möller
ACM Transactions on Graphics (TOG) 24 (3), 1156-1165, 2005
972005
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
932011
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
832018
Megakernels considered harmful: wavefront path tracing on GPUs
S Laine, T Karras, T Aila
Proceedings of High Performance Graphics 2013, 137-143, 2013
782013
Understanding the efficiency of ray traversal on GPUs–Kepler and Fermi addendum
T Aila, S Laine, T Karras
NVIDIA Technical Report NVR-2012-02, 2012
772012
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), 94, 2017
722017
High-performance software rasterization on GPUs
S Laine, T Karras
Proceedings of High Performance Graphics 2011, 79-88, 2011
612011
Reconstructing the indirect light field for global illumination
J Lehtinen, T Aila, S Laine, F Durand
ACM Transactions on Graphics (TOG) 31 (4), 51, 2012
582012
Gradient-domain metropolis light transport
J Lehtinen, T Karras, S Laine, M Aittala, F Durand, T Aila
ACM Transactions on Graphics (TOG) 32 (4), 95, 2013
512013
Restart trail for stackless BVH traversal
S Laine
Proceedings of High Performance Graphics 2010, 107-111, 2010
472010
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
462017
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Articles 1–20