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Laine, Samuli
13 publications
CVPR
2024
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
,
Miika Aittala
,
Jaakko Lehtinen
,
Janne Hellsten
,
Timo Aila
,
Samuli Laine
NeurIPS
2024
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkäänniemi
,
Miika Aittala
,
Tero Karras
,
Samuli Laine
,
Timo Aila
,
Jaakko Lehtinen
NeurIPS
2024
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras
,
Miika Aittala
,
Tuomas Kynkäänniemi
,
Jaakko Lehtinen
,
Timo Aila
,
Samuli Laine
ICML
2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer
,
Tero Karras
,
Samuli Laine
,
Andreas Geiger
,
Timo Aila
NeurIPS
2022
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
,
Miika Aittala
,
Timo Aila
,
Samuli Laine
NeurIPS
2021
Alias-Free Generative Adversarial Networks
Tero Karras
,
Miika Aittala
,
Samuli Laine
,
Erik Härkönen
,
Janne Hellsten
,
Jaakko Lehtinen
,
Timo Aila
NeurIPS
2020
Training Generative Adversarial Networks with Limited Data
Tero Karras
,
Miika Aittala
,
Janne Hellsten
,
Samuli Laine
,
Jaakko Lehtinen
,
Timo Aila
NeurIPS
2019
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine
,
Tero Karras
,
Jaakko Lehtinen
,
Timo Aila
NeurIPS
2019
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi
,
Tero Karras
,
Samuli Laine
,
Jaakko Lehtinen
,
Timo Aila
ICLRW
2019
Improved Self-Supervised Deep Image Denoising
Samuli Laine
,
Jaakko Lehtinen
,
Timo Aila
ICML
2018
Noise2Noise: Learning Image Restoration Without Clean Data
Jaakko Lehtinen
,
Jacob Munkberg
,
Jon Hasselgren
,
Samuli Laine
,
Tero Karras
,
Miika Aittala
,
Timo Aila
ICLR
2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
,
Timo Aila
,
Samuli Laine
,
Jaakko Lehtinen
ICLR
2017
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine
,
Timo Aila