Aittala, Miika

15 publications

NeurIPS 2025 Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

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

ICCV 2023 Generative Novel View Synthesis with 3D-Aware Diffusion Models Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein

TMLR 2023 Invertible Hierarchical Generative Model for Images Heikki Timonen, Miika Aittala, Jaakko Lehtinen

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

ICCV 2021 What You Can Learn by Staring at a Blank Wall Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand

NeurIPS 2020 Training Generative Adversarial Networks with Limited Data Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila

NeurIPS 2019 Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, Bill Freeman, Fredo Durand

ECCV 2018 Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks Miika Aittala, Fredo Durand

ICML 2018 Noise2Noise: Learning Image Restoration Without Clean Data Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila