Miika Aittala

59 papers A* 15Journal 38Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models.
CoRR
David McAllister, Miika Aittala, Tero Karras, Janne Hellsten, Angjoo Kanazawa, Timo Aila, Samuli Laine
2025 J jnl
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting.
CoRR
Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D. Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
2024 A* conf
Analyzing and Improving the Training Dynamics of Diffusion Models.
CVPR
Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine
2024 A* conf
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.
NeurIPS
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
2024 J jnl
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.
CoRR
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
2024 A* conf
Guiding a Diffusion Model with a Bad Version of Itself.
NeurIPS
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
2024 J jnl
Guiding a Diffusion Model with a Bad Version of Itself.
CoRR
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
2023 — conf
A Hybrid Generator Architecture for Controllable Face Synthesis.
SIGGRAPH (Conference Paper Track)
Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen
2023 J jnl
Analyzing and Improving the Training Dynamics of Diffusion Models.
CoRR
Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine
2023 — conf
Data-driven Pixel Filter Aware MIP Maps for SVBRDFs.
EGSR (ST)
Pauli Kemppinen, Miika Aittala, Jaakko Lehtinen
2023 A* conf
Generative Novel View Synthesis with 3D-Aware Diffusion Models.
ICCV
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
2023 J jnl
Generative Novel View Synthesis with 3D-Aware Diffusion Models.
CoRR
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
2023 J jnl
Invertible Hierarchical Generative Model for Images.
Trans. Mach. Learn. Res.
Heikki Timonen, Miika Aittala, Jaakko Lehtinen
2023 J jnl
MesoGAN: Generative Neural Reflectance Shells.
Comput. Graph. Forum
Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis
2023 A* conf
The Role of ImageNet Classes in Fréchet Inception Distance.
ICLR
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
2022 J jnl
Disentangling Random and Cyclic Effects in Time-Lapse Sequences.
CoRR
Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen
2022 J jnl
Disentangling random and cyclic effects in time-lapse sequences.
ACM Trans. Graph.
Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen
2022 A* conf
Elucidating the Design Space of Diffusion-Based Generative Models.
NeurIPS
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
2022 J jnl
Elucidating the Design Space of Diffusion-Based Generative Models.
CoRR
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
2022 A* conf
Generating Long Videos of Dynamic Scenes.
NeurIPS
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022 J jnl
Generating Long Videos of Dynamic Scenes.
CoRR
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022 J jnl
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction.
CoRR
Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen
2022 J jnl
The Role of ImageNet Classes in Fréchet Inception Distance.
CoRR
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
2022 J jnl
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
2021 A* conf
Alias-Free Generative Adversarial Networks.
NeurIPS
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2021 J jnl
Alias-Free Generative Adversarial Networks.
CoRR
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2021 — conf
Appearance-Driven Automatic 3D Model Simplification.
EGSR (DL)
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine
2021 J jnl
Appearance-Driven Automatic 3D Model Simplification.
CoRR
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine
2021 J jnl
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs.
Comput. Graph. Forum
Theo Thonat, Yagiz Aksoy, Miika Aittala, Sylvain Paris, Frédo Durand, George Drettakis
2021 A* conf
What You Can Learn by Staring at a Blank Wall.
ICCV
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
2021 J jnl
What You Can Learn by Staring at a Blank Wall.
CoRR
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
2020 A* conf
Analyzing and Improving the Image Quality of StyleGAN.
CVPR
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2020 A* conf
Training Generative Adversarial Networks with Limited Data.
NeurIPS
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
2020 J jnl
Training Generative Adversarial Networks with Limited Data.
CoRR
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
2019 A* conf
A Dataset of Multi-Illumination Images in the Wild.
ICCV
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
2019 J jnl
A Dataset of Multi-Illumination Images in the Wild.
CoRR
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
2019 J jnl
Analyzing and Improving the Image Quality of StyleGAN.
CoRR
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2019 A* conf
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization.
NeurIPS
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand
2019 J jnl
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization.
CoRR
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand
2019 J jnl
Flexible SVBRDF Capture with a Multi-Image Deep Network.
Comput. Graph. Forum
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
2019 J jnl
Flexible SVBRDF Capture with a Multi-Image Deep Network.
CoRR
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
2019 J jnl
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation.
CoRR
Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand
2019 J jnl
Sample-based Monte Carlo denoising using a kernel-splatting network.
ACM Trans. Graph.
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand
2018 — conf
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks.
ECCV (8)
Miika Aittala, Frédo Durand
2018 J jnl
Differentiable Monte Carlo ray tracing through edge sampling.
ACM Trans. Graph.
Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen
2018 A* conf
Noise2Noise: Learning Image Restoration without Clean Data.
ICML
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
2018 J jnl
Noise2Noise: Learning Image Restoration without Clean Data.
CoRR
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
2018 J jnl
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network.
CoRR
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
2018 J jnl
Single-image SVBRDF capture with a rendering-aware deep network.
ACM Trans. Graph.
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
2016 — —
Computational Methods for Capture and Reproduction of Photorealistic Surface Appearance ; Laskennallisia menetelmiä pintamateriaalien ulkonäön kaappaamiseen ja toisintamiseen.
Miika Aittala
2016 J jnl
Reflectance modeling by neural texture synthesis.
ACM Trans. Graph.
Miika Aittala, Timo Aila, Jaakko Lehtinen
2015 — conf
Gradient-Domain Bidirectional Path Tracing.
EGSR (EI&I)
Marco Manzi, Markus Kettunen, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker
2015 J jnl
Gradient-domain path tracing.
ACM Trans. Graph.
Markus Kettunen, Marco Manzi, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker
2015 J jnl
Two-shot SVBRDF capture for stationary materials.
ACM Trans. Graph.
Miika Aittala, Tim Weyrich, Jaakko Lehtinen
2013 J jnl
Gradient-domain metropolis light transport.
ACM Trans. Graph.
Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila
2013 J jnl
Practical SVBRDF capture in the frequency domain.
ACM Trans. Graph.
Miika Aittala, Tim Weyrich, Jaakko Lehtinen
2010 J jnl
CAVE for collaborative patient room design: analysis with end-user opinion contrasting method.
Virtual Real.
Mikael Wahlström, Miika Aittala, Helinä Kotilainen, Tiina Yli-Karhu, Janne Porkka, Esa Nykänen
2010 J jnl
Inverse lighting and photorealistic rendering for augmented reality.
Vis. Comput.
Miika Aittala
2010 A* conf
Light-weight marker hiding for augmented reality.
ISMAR
Otto Korkalo, Miika Aittala, Sanni Siltanen