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Janne Hellsten
Janne Hellsten
Verified email at nvidia.com
Title
Cited by
Cited by
Year
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
53302020
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
16432020
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
12212021
Modular primitives for high-performance differentiable rendering
S Laine, J Hellsten, T Karras, Y Seol, J Lehtinen, T Aila
ACM Transactions on Graphics (TOG) 39 (6), 1-14, 2020
2452020
Generating long videos of dynamic scenes
T Brooks, J Hellsten, M Aittala, TC Wang, T Aila, J Lehtinen, MY Liu, ...
Advances in Neural Information Processing Systems 35, 31769-31781, 2022
572022
Analyzing and improving the training dynamics of diffusion models
T Karras, M Aittala, J Lehtinen, J Hellsten, T Aila, S Laine
arXiv preprint arXiv:2312.02696, 2023
32023
Training neural networks with limited data using invertible augmentation operators
TT Karras, MS Aittala, JJ Hellsten, SM Laine, JT Lehtinen, TO Aila
US Patent App. 17/210,934, 2021
22021
Analyzing and improving the image quality of styleGAN. IEEE
T Karras, S Laine, M Aittala, J Hellsten, J Lehtinen, T Aila
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 0
2
Image-space painterly rendering
J Hellstén
12008
Three-dimensional model recovery from two-dimensional images
SM Laine, JJ Hellsten, TT Karras, S Yeongho, JT Lehtinen, TO Aila
US Patent 11,734,890, 2023
2023
Smoothing regularization for a generative neural network
TT Karras, SM Laine, JT Lehtinen, MS Aittala, JJ Hellsten, TO Aila
US Patent 11,620,521, 2023
2023
Weight demodulation for a generative neural network
TT Karras, SM Laine, JT Lehtinen, MS Aittala, JJ Hellsten, TO Aila
US Patent 11,605,001, 2023
2023
Fused processing of a continuous mathematical operator
TT Karras, MS Aittala, SM Laine, EA Härkönen, JJ Hellsten, JT Lehtinen, ...
US Patent App. 17/562,521, 2022
2022
Generative neural networks with reduced aliasing
TT Karras, MS Aittala, SM Laine, EA Härkönen, JJ Hellsten, JT Lehtinen, ...
US Patent App. 17/562,494, 2022
2022
User Interfaces and Methods for Generating a New Artifact Based on Existing Artifacts
J Hellsten, TT Karras, SM Laine
US Patent App. 17/344,053, 2022
2022
User Interfaces and Methods for Generating a New Artifact Based on Existing Artifacts
J Hellsten, TT Karras, SM Laine
US Patent App. 17/871,557, 2022
2022
User interfaces and methods for generating a new artifact based on existing artifacts
J Hellsten, TT Karras, SM Laine
US Patent 11,435,885, 2022
2022
Progressive modification of neural networks
TT Karras, TO Aila, SM Laine, JT Lehtinen, J Hellsten
US Patent 11,263,525, 2022
2022
Bardes, A., Ponce, J., & LeCun, Y. Vicreg: Variance-invariance-covariance regularization for self-supervised learning. arXiv preprint arXiv: 2105.04906, 2021.
T Karras, S Laine, M Aittala, J Hellsten, J Lehtinen, T Aila
Supplemental Material: Analyzing and Improving the Image Quality of StyleGAN
T Karras, S Laine, M Aittala, J Hellsten, J Lehtinen, T Aila
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