Jaakko Lehtinen

According to our database, Jaakko Lehtinen authored at least 59 papers between 2003 and 2023.

Collaborative distances:

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

2023

Analyzing and Improving the Training Dynamics of Diffusion Models.

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

CoRR, 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

Solving Audio Inverse Problems with a Diffusion Model.

Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki

Proceedings of the IEEE International Conference on Acoustics, 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

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

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

2020

Modular primitives for high-performance differentiable rendering.

Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila

ACM Trans. Graph., 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

GANSpace: Discovering Interpretable GAN Controls.

Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris

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

PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation.

Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 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

Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning.

Noshaba Cheema, Laura A. Frey-Law, Kourosh Naderi, Jaakko Lehtinen, Philipp Slusallek, Perttu Hämäläinen

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Deep convolutional reconstruction for gradient-domain rendering.

Markus Kettunen, Erik Härkönen, Jaakko Lehtinen

ACM Trans. Graph., 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

E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles.

Markus Kettunen, Erik Härkönen, Jaakko Lehtinen

CoRR, 2019

Self-Supervised Deep Image Denoising.

Samuli Laine, Jaakko Lehtinen, Timo Aila

CoRR, 2019

Quantifying the Error of Light Transport Algorithms.

A. Celarek, Wenzel Jakob, Manuel Wimmer, Jaakko Lehtinen

Comput. Graph. Forum, 2019

High-Quality Self-Supervised Deep Image Denoising.

Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila

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

Improved Precision and Recall Metric for Assessing Generative Models.

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

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

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

Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler

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

Few-Shot Unsupervised Image-to-Image Translation.

Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz

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

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

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

Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Sequential Monte Carlo Instant Radiosity.

Peter Hedman, Tero Karras, Jaakko Lehtinen

IEEE Trans. Vis. Comput. Graph., 2017

Real-time global illumination by precomputed local reconstruction from sparse radiance probes.

Ari Silvennoinen, Jaakko Lehtinen

ACM Trans. Graph., 2017

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

Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen

ACM Trans. Graph., 2017

Aether: an embedded domain specific sampling language for Monte Carlo rendering.

Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand

ACM Trans. Graph., 2017

Production-level facial performance capture using deep convolutional neural networks.

Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen

Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016

Temporal gradient-domain path tracing.

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

ACM Trans. Graph., 2016

Reflectance modeling by neural texture synthesis.

Miika Aittala, Timo Aila, Jaakko Lehtinen

ACM Trans. Graph., 2016

Facial Performance Capture with Deep Neural Networks.

Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen

CoRR, 2016

2015

Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics.

Tzu-Mao Li, Jaakko Lehtinen, Ravi Ramamoorthi, Wenzel Jakob, Frédo Durand

ACM Trans. Graph., 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

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

Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon

Comput. Graph. Forum, 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

2014

Improved sampling for gradient-domain metropolis light transport.

Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker

ACM Trans. Graph., 2014

Online motion synthesis using sequential Monte Carlo.

Perttu Hämäläinen, Sebastian Eriksson, Esa Tanskanen, Ville Kyrki, Jaakko Lehtinen

ACM Trans. Graph., 2014

Occluder Simplification Using Planar Sections.

Ari Silvennoinen, Hannu Saransaari, Samuli Laine, Jaakko Lehtinen

Comput. Graph. Forum, 2014

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

2012

Reconstructing the indirect light field for global illumination.

Jaakko Lehtinen, Timo Aila, Samuli Laine, Frédo Durand

ACM Trans. Graph., 2012

2011

Decoupled sampling for graphics pipelines.

Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand

ACM Trans. Graph., 2011

Temporal light field reconstruction for rendering distribution effects.

Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand

ACM Trans. Graph., 2011

Clipless dual-space bounds for faster stochastic rasterization.

Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen

ACM Trans. Graph., 2011

2010

A hierarchical volumetric shadow algorithm for single scattering.

Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen

ACM Trans. Graph., 2010

Sketching Clothoid Splines Using Shortest Paths.

Ilya Baran, Jaakko Lehtinen, Jovan Popovic

Comput. Graph. Forum, 2010

2008

A meshless hierarchical representation for light transport.

Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Frédo Durand, François X. Sillion, Timo Aila

ACM Trans. Graph., 2008

2007

A framework for precomputed and captured light transport.

Jaakko Lehtinen

ACM Trans. Graph., 2007

Incremental Instant Radiosity for Real-Time Indirect Illumination.

Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila

Proceedings of the Eurographics Symposium on Rendering Techniques, Grenoble, France, 2007, 2007

2006

An Improved Physically-Based Soft Shadow Volume Algorithm.

Jaakko Lehtinen, Samuli Laine, Timo Aila

Comput. Graph. Forum, 2006

2005

Soft shadow volumes for ray tracing.

Samuli Laine, Timo Aila, Ulf Assarsson, Jaakko Lehtinen, Tomas Akenine-Möller

ACM Trans. Graph., 2005

Precomputed radiance transfer: theory and practice.

Jan Kautz, Peter-Pike Sloan, Jaakko Lehtinen

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005

2004

Hemispherical Rasterization for Self-Shadowing of Dynamic Objects.

Jan Kautz, Jaakko Lehtinen, Timo Aila

Proceedings of the 15th Eurographics Workshop on Rendering Techniques, 2004

2003

Matrix radiance transfer.

Jaakko Lehtinen, Jan Kautz

Proceedings of the 2003 Symposium on Interactive 3D Graphics, 2003