World's Best Scientists 2026 revealed!
Jaakko Lehtinen

Jaakko Lehtinen

D-Index & Metrics

Computer Science

D-Index
45
Citations
18967
World Ranking
6990
National Ranking
47

Overview

Jaakko Lehtinen is affiliated with Aalto University in Finland and has a research focus primarily within computer science, contributing notably to subfields such as computer vision and pattern recognition, cognitive neuroscience, and computer graphics and computer-aided design. Their work intersects several specialized areas including computational mechanics and imaging sciences.

The scientist's publication record highlights a concentration on topics related to generative adversarial networks (GANs) and image synthesis, advanced vision and imaging, as well as computer graphics and visualization techniques. Their research also covers 3D shape modeling and analysis, EEG and brain-computer interfaces, neural dynamics and brain function, and functional brain connectivity studies.

Frequently publishing in venues such as arXiv (Cornell University), ACM Transactions on Graphics, and Aaltodoc (Aalto University), Jaakko Lehtinen has made numerous contributions to open-access platforms and peer-reviewed journals. Other publication venues include Applied Sciences and Communications Earth & Environment.

Notable recent papers by or involving Jaakko Lehtinen include:

  • Training Generative Adversarial Networks with Limited Data (2020, arXiv)
  • Alias-Free Generative Adversarial Networks (2021, arXiv)
  • GANSpace: Discovering Interpretable GAN Controls (2020, arXiv)
  • Generating Long Videos of Dynamic Scenes (2022, arXiv)
  • Appearance-Driven Automatic 3D Model Simplification (2021, arXiv)

Jaakko Lehtinen's collaborative network includes frequent co-authors engaged in similar research domains. These co-authors include Samuli Laine, Miika Aittala, Timo Aila, Tero Karras, and Erik Härkönen, with multiple joint publications indicating ongoing research partnerships.

Best Publications

  • Analyzing and Improving the Image Quality of StyleGAN

    Tero Karras;Samuli Laine;Miika Aittala;Janne Hellsten

  • Progressive Growing of GANs for Improved Quality, Stability, and Variation

    Tero Karras;Timo Aila;Samuli Laine;Jaakko Lehtinen

  • Noise2Noise: Learning image restoration without clean data

    Jaakko Lehtinen;Jaakko Lehtinen;Jacob Munkberg;Jon Hasselgren;Samuli Laine

  • Training Generative Adversarial Networks with Limited Data

    Tero Karras;Miika Aittala;Janne Hellsten;Samuli Laine

  • Alias-Free Generative Adversarial Networks

    Tero Karras;Miika Aittala;Samuli Laine;Erik Härkönen

  • Few-Shot Unsupervised Image-to-Image Translation

    Ming-Yu Liu;Xun Huang;Arun Mallya;Tero Karras

  • GANSpace: Discovering Interpretable GAN Controls

    Erik Härkönen;Aaron Hertzmann;Jaakko Lehtinen;Jaakko Lehtinen;Sylvain Paris

  • Differentiable Monte Carlo ray tracing through edge sampling

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

  • Audio-driven facial animation by joint end-to-end learning of pose and emotion

    Tero Karras;Timo Aila;Samuli Laine;Antti Herva

  • Improved Precision and Recall Metric for Assessing Generative Models

    Tuomas Kynkäänniemi;Tero Karras;Samuli Laine;Jaakko Lehtinen

  • Modular primitives for high-performance differentiable rendering

    Samuli Laine;Janne Hellsten;Tero Karras;Yeongho Seol

  • Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

    Wenzheng Chen;Jun Gao;Huan Ling;Edward J. Smith

  • Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

    M. Zwicker;W. Jarosz;J. Lehtinen;B. Moon

  • Two-shot SVBRDF capture for stationary materials

    Miika Aittala;Tim Weyrich;Jaakko Lehtinen

  • Incremental instant radiosity for real-time indirect illumination

    Samuli Laine;Hannu Saransaari;Janne Kontkanen;Jaakko Lehtinen

  • Reflectance modeling by neural texture synthesis

    Miika Aittala;Timo Aila;Jaakko Lehtinen

  • Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

    Wenzheng Chen;Huan Ling;Jun Gao;Edward J. Smith

  • High-Quality Self-Supervised Deep Image Denoising

    Samuli Laine;Tero Karras;Jaakko Lehtinen;Timo Aila

  • Practical SVBRDF capture in the frequency domain

    Miika Aittala;Tim Weyrich;Jaakko Lehtinen

  • Matrix radiance transfer

    Jaakko Lehtinen;Jan Kautz

Frequent Co-Authors

Timo Aila
Timo Aila Aalto University
Samuli Laine
Samuli Laine Nvidia (United States)
Tero Karras
Tero Karras Nvidia (United Kingdom)
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Jan Kautz
Jan Kautz Nvidia (United States)
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
David Luebke
David Luebke Nvidia (United States)
Jovan Popović
Jovan Popović Adobe Systems (United States)
Derek Nowrouzezahrai
Derek Nowrouzezahrai McGill University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options in the U.S. can help shape your future in tech fields like Computer Science, Data Science, and Engineering. For budget-conscious students, finding what is the cheapest data science course in the us? may be a top priority. Affordable online courses allow you to gain in-demand skills without the burden of heavy student debt.

For those looking to expand their skill set beyond core computer science, online programs in engineering are a flexible option. Comparing programs with strong online electrical engineering career outcomes can open doors to roles in tech, research, and advanced manufacturing.

If you want to boost your qualifications quickly, consider pursuing easy certifications to get. These certifications often lead to well-paying jobs and can be completed in a shorter timeframe, making them ideal for professionals seeking fast career growth.

Time is also a valuable resource. Many universities now offer pathways to the fastest online master's degree programs, allowing you to upgrade your credentials and career opportunities without long delays.

Best Scientists Citing Jaakko Lehtinen

Trending Scientists

Recently Published Articles