ML Anthology

Aila, Timo

17 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
ICLR 2023 The Role of ImageNet Classes in Fréchet Inception Distance Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
NeurIPS 2022 Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022 Generating Long Videos of Dynamic Scenes Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei Efros, Tero Karras
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 Pruning Convolutional Neural Networks for Resource Efficient Inference Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
CVPRW 2017 Reconstructing Intensity Images from Binary Spatial Gradient Cameras Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, Jan Kautz
ICLR 2017 Temporal Ensembling for Semi-Supervised Learning Samuli Laine, Timo Aila