People

Miika Aittala
Research Area(s)
Artificial Intelligence and Machine Learning
Generative AI
Main Field of Interest
Computer Graphics

Publications

2023

Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan, Koki Nagano, Matthew Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
International Conference on Computer Vision (ICCV) 2023
Oral
A Hybrid Generator Architecture for Controllable Face Synthesis
Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen
SIGGRAPH 2023

2022

Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022 (oral)
NeurIPS Outstanding Paper

2021

Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
NeurIPS 2021
Appearance-Driven Automatic 3D Model Simplification
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine
EGSR 2021

2020

Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
NeurIPS 2020
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
CVPR 2020
MesoGAN: Generative Neural Reflectance Shells
Stavros Diolatzis, Jan Novák, Fabrice Rousselle, Jonathan Granskog, Miika Aittala, Ravi Ramamoorthi, George Drettakis
Computer Graphics Forum