Jaakko Lehtinen

89 papers A* 15Misc 1Journal 58Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robo-Saber: Generating and Simulating Virtual Reality Players.
CoRR
Nam Hee Kim, Jingjing May Liu, Jaakko Lehtinen, Perttu Hämäläinen, James F. O'Brien, Xue Bin Peng
2025 J jnl
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach.
Neural Comput.
Hanna Pankka, Jaakko Lehtinen, Risto J. Ilmoniemi, Timo Roine
2025 J jnl
Evaluating and Sampling Glinty NDFs in Constant Time.
ACM Trans. Graph.
Pauli Kemppinen, Loïs Paulin, Theo Thonat, Jean-Marc Thiery, Jaakko Lehtinen, Tamy Boubekeur
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 J jnl
Invertible Hierarchical Generative Model for Images.
Trans. Mach. Learn. Res.
Heikki Timonen, Miika Aittala, Jaakko Lehtinen
2023 Misc conf
Solving Audio Inverse Problems with a Diffusion Model.
ICASSP
Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
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
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
Solving Audio Inverse Problems with a Diffusion Model.
CoRR
Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
2022 J jnl
The Role of ImageNet Classes in Fréchet Inception Distance.
CoRR
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
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
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
GANSpace: Discovering Interpretable GAN Controls.
NeurIPS
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris
2020 J jnl
GANSpace: Discovering Interpretable GAN Controls.
CoRR
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris
2020 J jnl
Modular Primitives for High-Performance Differentiable Rendering.
CoRR
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
2020 J jnl
Modular primitives for high-performance differentiable rendering.
ACM Trans. Graph.
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
2020 — conf
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation.
MLSP
Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen
2020 A* conf
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning.
CHI
Noshaba Cheema, Laura A. Frey-Law, Kourosh Naderi, Jaakko Lehtinen, Philipp Slusallek, Perttu Hämäläinen
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 J jnl
Analyzing and Improving the Image Quality of StyleGAN.
CoRR
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2019 J jnl
Deep convolutional reconstruction for gradient-domain rendering.
ACM Trans. Graph.
Markus Kettunen, Erik Härkönen, Jaakko Lehtinen
2019 J jnl
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles.
CoRR
Markus Kettunen, Erik Härkönen, Jaakko Lehtinen
2019 A* conf
Few-Shot Unsupervised Image-to-Image Translation.
ICCV
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019 J jnl
Few-Shot Unsupervised Image-to-Image Translation.
CoRR
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019 A* conf
High-Quality Self-Supervised Deep Image Denoising.
NeurIPS
Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
2019 A* conf
Improved Precision and Recall Metric for Assessing Generative Models.
NeurIPS
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
2019 J jnl
Improved Precision and Recall Metric for Assessing Generative Models.
CoRR
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
2019 A* conf
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
NeurIPS
Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
2019 J jnl
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
CoRR
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler
2019 J jnl
Quantifying the Error of Light Transport Algorithms.
Comput. Graph. Forum
Adam Celarek, Wenzel Jakob, Michael Wimmer, Jaakko Lehtinen
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
2019 J jnl
Self-Supervised Deep Image Denoising.
CoRR
Samuli Laine, Jaakko Lehtinen, Timo Aila
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
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation.
CoRR
Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen
2018 — conf
Progressive Growing of GANs for Improved Quality, Stability, and Variation.
ICLR
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
2017 J jnl
Aether: an embedded domain specific sampling language for Monte Carlo rendering.
ACM Trans. Graph.
Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand
2017 J jnl
Audio-driven facial animation by joint end-to-end learning of pose and emotion.
ACM Trans. Graph.
Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen
2017 — conf
Production-level facial performance capture using deep convolutional neural networks.
Symposium on Computer Animation
Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen
2017 J jnl
Progressive Growing of GANs for Improved Quality, Stability, and Variation.
CoRR
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
2017 J jnl
Real-time global illumination by precomputed local reconstruction from sparse radiance probes.
ACM Trans. Graph.
Ari Silvennoinen, Jaakko Lehtinen
2017 J jnl
Sequential Monte Carlo Instant Radiosity.
IEEE Trans. Vis. Comput. Graph.
Peter Hedman, Tero Karras, Jaakko Lehtinen
2016 J jnl
Facial Performance Capture with Deep Neural Networks.
CoRR
Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen
2016 J jnl
Reflectance modeling by neural texture synthesis.
ACM Trans. Graph.
Miika Aittala, Timo Aila, Jaakko Lehtinen
2016 — conf
Sequential Monte Carlo instant radiosity.
I3D
Peter Hedman, Tero Karras, Jaakko Lehtinen
2016 J jnl
Temporal gradient-domain path tracing.
ACM Trans. Graph.
Marco Manzi, Markus Kettunen, Frédo Durand, Matthias Zwicker, Jaakko Lehtinen
2015 — ed.
26th Eurographics Symposium on Rendering, Rendering - Experimental Ideas & Implementations, EGSR 2015, EI&I Track, Darmstadt, Germany, June 23-26, 2015
EGSR (EI&I)
Jaakko Lehtinen, Derek Nowrouzezahrai
2015 J jnl
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics.
ACM Trans. Graph.
Tzu-Mao Li, Jaakko Lehtinen, Ravi Ramamoorthi, Wenzel Jakob, Frédo Durand
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
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering.
Comput. Graph. Forum
Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon
2015 J jnl
Two-shot SVBRDF capture for stationary materials.
ACM Trans. Graph.
Miika Aittala, Tim Weyrich, Jaakko Lehtinen
2014 J jnl
Improved sampling for gradient-domain metropolis light transport.
ACM Trans. Graph.
Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker
2014 J jnl
Occluder Simplification Using Planar Sections.
Comput. Graph. Forum
Ari Silvennoinen, Hannu Saransaari, Samuli Laine, Jaakko Lehtinen
2014 J jnl
Online motion synthesis using sequential Monte Carlo.
ACM Trans. Graph.
Perttu Hämäläinen, Sebastian Eriksson, Esa Tanskanen, Ville Kyrki, 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 — ed.
High-Performance Graphics 2013, Anaheim, California, USA, July 19-21, 2013. Proceedings
High Performance Graphics
Kayvon Fatahalian, Christian Theobalt, Jaakko Lehtinen
2013 J jnl
Practical SVBRDF capture in the frequency domain.
ACM Trans. Graph.
Miika Aittala, Tim Weyrich, Jaakko Lehtinen
2012 J jnl
Reconstructing the indirect light field for global illumination.
ACM Trans. Graph.
Jaakko Lehtinen, Timo Aila, Samuli Laine, Frédo Durand
2011 J jnl
Clipless dual-space bounds for faster stochastic rasterization.
ACM Trans. Graph.
Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen
2011 J jnl
Decoupled sampling for graphics pipelines.
ACM Trans. Graph.
Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand
2011 J jnl
Temporal light field reconstruction for rendering distribution effects.
ACM Trans. Graph.
Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand
2010 J jnl
A hierarchical volumetric shadow algorithm for single scattering.
ACM Trans. Graph.
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen
2010 J jnl
Sketching Clothoid Splines Using Shortest Paths.
Comput. Graph. Forum
Ilya Baran, Jaakko Lehtinen, Jovan Popovic
2008 J jnl
A meshless hierarchical representation for light transport.
ACM Trans. Graph.
Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Frédo Durand, François X. Sillion, Timo Aila
2007 J jnl
A framework for precomputed and captured light transport.
ACM Trans. Graph.
Jaakko Lehtinen
2007 — conf
Incremental Instant Radiosity for Real-Time Indirect Illumination.
Rendering Techniques
Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila
2007 — —
Theory and algorithms for efficient physically-based illumination.
Jaakko Lehtinen
2006 J jnl
An Improved Physically-Based Soft Shadow Volume Algorithm.
Comput. Graph. Forum
Jaakko Lehtinen, Samuli Laine, Timo Aila
2005 — conf
Precomputed radiance transfer: theory and practice.
SIGGRAPH Courses
Jan Kautz, Peter-Pike Sloan, Jaakko Lehtinen
2005 J jnl
Soft shadow volumes for ray tracing.
ACM Trans. Graph.
Samuli Laine, Timo Aila, Ulf Assarsson, Jaakko Lehtinen, Tomas Akenine-Möller
2004 — conf
Hemispherical Rasterization for Self-Shadowing of Dynamic Objects.
Rendering Techniques
Jan Kautz, Jaakko Lehtinen, Timo Aila
2003 — conf
Matrix radiance transfer.
SI3D
Jaakko Lehtinen, Jan Kautz