Matrix radiance transfer. - Jaakko Lehtinen; Jan Kautz (SI3D, 2003)

Hemispherical Rasterization for Self-Shadowing of Dynamic Objects. - Jan Kautz; Jaakko Lehtinen; Timo Aila (Rendering Techniques, 2004)

Precomputed radiance transfer: theory and practice. - Jan Kautz; Peter-Pike Sloan; Jaakko Lehtinen (SIGGRAPH Courses, 2005)

Soft shadow volumes for ray tracing. - Samuli Laine; Timo Aila; Ulf Assarsson; Jaakko Lehtinen; Tomas Akenine-Möller (ACM Trans. Graph., 2005)

An Improved Physically-Based Soft Shadow Volume Algorithm. - Jaakko Lehtinen; Samuli Laine; Timo Aila (Comput. Graph. Forum, 2006)

Incremental Instant Radiosity for Real-Time Indirect Illumination. - Samuli Laine; Hannu Saransaari; Janne Kontkanen; Jaakko Lehtinen; Timo Aila (Rendering Techniques, 2007)

A framework for precomputed and captured light transport. - Jaakko Lehtinen (ACM Trans. Graph., 2007)

Theory and algorithms for efficient physically-based illumination. - Jaakko Lehtinen (2007)

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)

Sketching Clothoid Splines Using Shortest Paths. - Ilya Baran; Jaakko Lehtinen; Jovan Popovic (Comput. Graph. Forum, 2010)

A hierarchical volumetric shadow algorithm for single scattering. - Ilya Baran; Jiawen Chen 001; Jonathan Ragan-Kelley; Frédo Durand; Jaakko Lehtinen (ACM Trans. Graph., 2010)

Clipless dual-space bounds for faster stochastic rasterization. - Samuli Laine; Timo Aila; Tero Karras; Jaakko Lehtinen (ACM Trans. Graph., 2011)

Temporal light field reconstruction for rendering distribution effects. - Jaakko Lehtinen; Timo Aila; Jiawen Chen 001; Samuli Laine; Frédo Durand (ACM Trans. Graph., 2011)

Decoupled sampling for graphics pipelines. - Jonathan Ragan-Kelley; Jaakko Lehtinen; Jiawen Chen 001; Michael C. Doggett; Frédo Durand (ACM Trans. Graph., 2011)

Reconstructing the indirect light field for global illumination. - Jaakko Lehtinen; Timo Aila; Samuli Laine; Frédo Durand (ACM Trans. Graph., 2012)

Practical SVBRDF capture in the frequency domain. - Miika Aittala; Tim Weyrich; Jaakko Lehtinen (ACM Trans. Graph., 2013)

Gradient-domain metropolis light transport. - Jaakko Lehtinen; Tero Karras; Samuli Laine; Miika Aittala; Frédo Durand; Timo Aila (ACM Trans. Graph., 2013)

Occluder Simplification Using Planar Sections. - Ari Silvennoinen; Hannu Saransaari; Samuli Laine; Jaakko Lehtinen (Comput. Graph. Forum, 2014)

Online motion synthesis using sequential Monte Carlo. - Perttu Hämäläinen; Sebastian Eriksson; Esa Tanskanen; Ville Kyrki; Jaakko Lehtinen (ACM Trans. Graph., 2014)

Improved sampling for gradient-domain metropolis light transport. - Marco Manzi; Fabrice Rousselle; Markus Kettunen 001; Jaakko Lehtinen; Matthias Zwicker (ACM Trans. Graph., 2014)

Gradient-Domain Bidirectional Path Tracing. - Marco Manzi; Markus Kettunen 001; Miika Aittala; Jaakko Lehtinen; Frédo Durand; Matthias Zwicker (EGSR (EI&I), 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)

Two-shot SVBRDF capture for stationary materials. - Miika Aittala; Tim Weyrich; Jaakko Lehtinen (ACM Trans. Graph., 2015)

Gradient-domain path tracing. - Markus Kettunen 001; Marco Manzi; Miika Aittala; Jaakko Lehtinen; Frédo Durand; Matthias Zwicker (ACM Trans. Graph., 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)

Facial Performance Capture with Deep Neural Networks. - Samuli Laine; Tero Karras; Timo Aila; Antti Herva; Jaakko Lehtinen (CoRR, 2016)

Reflectance modeling by neural texture synthesis. - Miika Aittala; Timo Aila; Jaakko Lehtinen (ACM Trans. Graph., 2016)

Temporal gradient-domain path tracing. - Marco Manzi; Markus Kettunen 001; Frédo Durand; Matthias Zwicker; Jaakko Lehtinen (ACM Trans. Graph., 2016)

Production-level facial performance capture using deep convolutional neural networks. - Samuli Laine; Tero Karras; Timo Aila; Antti Herva; Shunsuke Saito; Ronald Yu; Hao Li 015; Jaakko Lehtinen (Symposium on Computer Animation, 2017)

Aether: an embedded domain specific sampling language for Monte Carlo rendering. - Luke Anderson 001; Tzu-Mao Li; Jaakko Lehtinen; Frédo Durand (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)

Real-time global illumination by precomputed local reconstruction from sparse radiance probes. - Ari Silvennoinen; Jaakko Lehtinen (ACM Trans. Graph., 2017)

Sequential Monte Carlo Instant Radiosity. - Peter Hedman; Tero Karras; Jaakko Lehtinen (IEEE Trans. Vis. Comput. Graph., 2017)

Progressive Growing of GANs for Improved Quality, Stability, and Variation. - Tero Karras; Timo Aila; Samuli Laine; Jaakko Lehtinen (ICLR, 2018)

Noise2Noise: Learning Image Restoration without Clean Data. - Jaakko Lehtinen; Jacob Munkberg; Jon Hasselgren; Samuli Laine; Tero Karras; Miika Aittala; Timo Aila (ICML, 2018)

Differentiable Monte Carlo ray tracing through edge sampling. - Tzu-Mao Li; Miika Aittala; Frédo Durand; Jaakko Lehtinen (ACM Trans. Graph., 2018)

Few-Shot Unsupervised Image-to-Image Translation. - Ming-Yu Liu 001; Xun Huang; Arun Mallya; Tero Karras; Timo Aila; Jaakko Lehtinen; Jan Kautz (ICCV, 2019)

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. - Wenzheng Chen; Huan Ling; Jun Gao 004; Edward J. Smith; Jaakko Lehtinen; Alec Jacobson; Sanja Fidler (NeurIPS, 2019)

Improved Precision and Recall Metric for Assessing Generative Models. - Tuomas Kynkäänniemi; Tero Karras; Samuli Laine; Jaakko Lehtinen; Timo Aila (NeurIPS, 2019)

High-Quality Self-Supervised Deep Image Denoising. - Samuli Laine; Tero Karras; Jaakko Lehtinen; Timo Aila (NeurIPS, 2019)

Quantifying the Error of Light Transport Algorithms. - Adam Celarek; Wenzel Jakob; Michael Wimmer 001; Jaakko Lehtinen (Comput. Graph. Forum, 2019)

Self-Supervised Deep Image Denoising. - Samuli Laine; Jaakko Lehtinen; Timo Aila (CoRR, 2019)

E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles. - Markus Kettunen 001; Erik Härkönen; Jaakko Lehtinen (CoRR, 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)

Deep convolutional reconstruction for gradient-domain rendering. - Markus Kettunen 001; Erik Härkönen; Jaakko Lehtinen (ACM Trans. Graph., 2019)

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 (CHI, 2020)

Analyzing and Improving the Image Quality of StyleGAN. - Tero Karras; Samuli Laine; Miika Aittala; Janne Hellsten; Jaakko Lehtinen; Timo Aila (CVPR, 2020)

PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. - Perttu Hämäläinen; Amin Babadi; Xiaoxiao Ma; Jaakko Lehtinen (MLSP, 2020)

GANSpace: Discovering Interpretable GAN Controls. - Erik Härkönen; Aaron Hertzmann; Jaakko Lehtinen; Sylvain Paris (NeurIPS, 2020)

Training Generative Adversarial Networks with Limited Data. - Tero Karras; Miika Aittala; Janne Hellsten; Samuli Laine; Jaakko Lehtinen; Timo Aila (NeurIPS, 2020)

Modular primitives for high-performance differentiable rendering. - Samuli Laine; Janne Hellsten; Tero Karras; Yeongho Seol; Jaakko Lehtinen; Timo Aila (ACM Trans. Graph., 2020)

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 (DL), 2021)

Generating Long Videos of Dynamic Scenes. - Tim Brooks; Janne Hellsten; Miika Aittala; Ting-Chun Wang; Timo Aila; Jaakko Lehtinen; Ming-Yu Liu 001; Alexei A. Efros; Tero Karras (NeurIPS, 2022)

Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. - Onni Kosomaa; Samuli Laine; Tero Karras; Miika Aittala; Jaakko Lehtinen (CoRR, 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)

Solving Audio Inverse Problems with a Diffusion Model. - Eloi Moliner; Jaakko Lehtinen; Vesa Välimäki (ICASSP, 2023)

The Role of ImageNet Classes in Fréchet Inception Distance. - Tuomas Kynkäänniemi; Tero Karras; Miika Aittala; Timo Aila; Jaakko Lehtinen (ICLR, 2023)

Data-driven Pixel Filter Aware MIP Maps for SVBRDFs. - Pauli Kemppinen; Miika Aittala; Jaakko Lehtinen (EGSR (ST), 2023)

A Hybrid Generator Architecture for Controllable Face Synthesis. - Dann Mensah; Nam Hee Kim; Miika Aittala; Samuli Laine; Jaakko Lehtinen (SIGGRAPH (Conference Paper Track), 2023)

Invertible Hierarchical Generative Model for Images. - Heikki Timonen; Miika Aittala; Jaakko Lehtinen (Trans. Mach. Learn. Res., 2023)

Analyzing and Improving the Training Dynamics of Diffusion Models. - Tero Karras; Miika Aittala; Jaakko Lehtinen; Janne Hellsten; Timo Aila; Samuli Laine (CVPR, 2024)

Guiding a Diffusion Model with a Bad Version of Itself. - Tero Karras; Miika Aittala; Tuomas Kynkäänniemi; Jaakko Lehtinen; Timo Aila; Samuli Laine (NeurIPS, 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 (NeurIPS, 2024)

Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach. - Hanna Pankka; Jaakko Lehtinen; Risto J. Ilmoniemi; Timo Roine (Neural Comput., 2025)