Miika Aittala

According to our database, Miika Aittala authored at least 38 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guiding a Diffusion Model with a Bad Version of Itself.

Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine

CoRR, 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

CoRR, 2024

Analyzing and Improving the Training Dynamics of Diffusion Models.

Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MesoGAN: Generative Neural Reflectance Shells.

Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis

Comput. Graph. Forum, September, 2023

Invertible Hierarchical Generative Model for Images.

Heikki Timonen, Miika Aittala, Jaakko Lehtinen

Trans. Mach. Learn. Res., 2023

A Hybrid Generator Architecture for Controllable Face Synthesis.

Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

The Role of ImageNet Classes in Fréchet Inception Distance.

Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Disentangling random and cyclic effects in time-lapse sequences.

Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen

ACM Trans. Graph., 2022

Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction.

Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen

CoRR, 2022

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

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

CoRR, 2022

Elucidating the Design Space of Diffusion-Based Generative Models.

Tero Karras, Miika Aittala, Timo Aila, Samuli Laine

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Long Videos of Dynamic Scenes.

Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs.

Theo Thonat, Yagiz Aksoy, Miika Aittala, Sylvain Paris, Frédo Durand, George Drettakis

Comput. Graph. Forum, 2021

Appearance-Driven Automatic 3D Model Simplification.

Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine

Proceedings of the 32nd Eurographics Symposium on Rendering, 2021

Alias-Free Generative Adversarial Networks.

Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Training Generative Adversarial Networks with Limited Data.

Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Analyzing and Improving the Image Quality of StyleGAN.

Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Sample-based Monte Carlo denoising using a kernel-splatting network.

Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand

ACM Trans. Graph., 2019

Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation.

Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand

CoRR, 2019

Flexible SVBRDF Capture with a Multi-Image Deep Network.

Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau

Comput. Graph. Forum, 2019

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization.

Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Dataset of Multi-Illumination Images in the Wild.

Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Differentiable Monte Carlo ray tracing through edge sampling.

Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen

ACM Trans. Graph., 2018

Single-image SVBRDF capture with a rendering-aware deep network.

Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau

ACM Trans. Graph., 2018

Noise2Noise: Learning Image Restoration without Clean Data.

Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila

Proceedings of the 35th International Conference on Machine Learning, 2018

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks.

Miika Aittala, Frédo Durand

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Computational Methods for Capture and Reproduction of Photorealistic Surface Appearance ; Laskennallisia menetelmiä pintamateriaalien ulkonäön kaappaamiseen ja toisintamiseen.

Miika Aittala

PhD thesis, 2016

Reflectance modeling by neural texture synthesis.

Miika Aittala, Timo Aila, Jaakko Lehtinen

ACM Trans. Graph., 2016

2015

Gradient-domain path tracing.

Markus Kettunen, Marco Manzi, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker

ACM Trans. Graph., 2015

Two-shot SVBRDF capture for stationary materials.

Miika Aittala, Tim Weyrich, Jaakko Lehtinen

ACM Trans. Graph., 2015

Gradient-Domain Bidirectional Path Tracing.

Marco Manzi, Markus Kettunen, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker

Proceedings of the 26th Eurographics Symposium on Rendering, Rendering, 2015

2013

Gradient-domain metropolis light transport.

Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila

ACM Trans. Graph., 2013

Practical SVBRDF capture in the frequency domain.

Miika Aittala, Tim Weyrich, Jaakko Lehtinen

ACM Trans. Graph., 2013

2010

CAVE for collaborative patient room design: analysis with end-user opinion contrasting method.

Mikael Wahlström, Miika Aittala, Helinä Kotilainen, Tiina Yli-Karhu, Janne Porkka, Esa Nykänen

Virtual Real., 2010

Inverse lighting and photorealistic rendering for augmented reality.

Miika Aittala

Vis. Comput., 2010

Light-weight marker hiding for augmented reality.

Otto Korkalo, Miika Aittala, Sanni Siltanen

Proceedings of the 9th IEEE International Symposium on Mixed and Augmented Reality, 2010