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Books and Theses
- 2007
[b1]Jaakko Lehtinen:
Theory and algorithms for efficient physically-based illumination. Aalto University, Espoo, Finland, 2007
Journal Articles
- 2023
- [j32]Heikki Timonen, Miika Aittala, Jaakko Lehtinen:
Invertible Hierarchical Generative Model for Images. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j31]Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling random and cyclic effects in time-lapse sequences. ACM Trans. Graph. 41(4): 72:1-72:13 (2022) - 2020
- [j30]Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila:
Modular primitives for high-performance differentiable rendering. ACM Trans. Graph. 39(6): 194:1-194:14 (2020) - 2019
- [j29]A. Celarek, Wenzel Jakob, Manuel Wimmer, Jaakko Lehtinen:
Quantifying the Error of Light Transport Algorithms. Comput. Graph. Forum 38(4): 111-121 (2019) - [j28]Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand:
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38(4): 125:1-125:12 (2019) - [j27]Markus Kettunen
, Erik Härkönen, Jaakko Lehtinen:
Deep convolutional reconstruction for gradient-domain rendering. ACM Trans. Graph. 38(4): 126:1-126:12 (2019) - 2018
- [j26]Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen:
Differentiable Monte Carlo ray tracing through edge sampling. ACM Trans. Graph. 37(6): 222 (2018) - 2017
- [j25]Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen:
Audio-driven facial animation by joint end-to-end learning of pose and emotion. ACM Trans. Graph. 36(4): 94:1-94:12 (2017) - [j24]Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand:
Aether: an embedded domain specific sampling language for Monte Carlo rendering. ACM Trans. Graph. 36(4): 99:1-99:16 (2017) - [j23]Ari Silvennoinen, Jaakko Lehtinen:
Real-time global illumination by precomputed local reconstruction from sparse radiance probes. ACM Trans. Graph. 36(6): 230:1-230:13 (2017) - [j22]Peter Hedman, Tero Karras, Jaakko Lehtinen:
Sequential Monte Carlo Instant Radiosity. IEEE Trans. Vis. Comput. Graph. 23(5): 1442-1453 (2017) - 2016
- [j21]Miika Aittala, Timo Aila, Jaakko Lehtinen:
Reflectance modeling by neural texture synthesis. ACM Trans. Graph. 35(4): 65:1-65:13 (2016) - [j20]Marco Manzi, Markus Kettunen, Frédo Durand, Matthias Zwicker, Jaakko Lehtinen:
Temporal gradient-domain path tracing. ACM Trans. Graph. 35(6): 246:1-246:9 (2016) - 2015
- [j19]Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon:
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering. Comput. Graph. Forum 34(2): 667-681 (2015) - [j18]Miika Aittala, Tim Weyrich, Jaakko Lehtinen:
Two-shot SVBRDF capture for stationary materials. ACM Trans. Graph. 34(4): 110:1-110:13 (2015) - [j17]Markus Kettunen, Marco Manzi, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker:
Gradient-domain path tracing. ACM Trans. Graph. 34(4): 123:1-123:13 (2015) - [j16]Tzu-Mao Li, Jaakko Lehtinen, Ravi Ramamoorthi, Wenzel Jakob, Frédo Durand:
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics. ACM Trans. Graph. 34(6): 209:1-209:13 (2015) - 2014
- [j15]Ari Silvennoinen, Hannu Saransaari, Samuli Laine, Jaakko Lehtinen:
Occluder Simplification Using Planar Sections. Comput. Graph. Forum 33(1): 235-245 (2014) - [j14]Perttu Hämäläinen, Sebastian Eriksson, Esa Tanskanen, Ville Kyrki, Jaakko Lehtinen:
Online motion synthesis using sequential Monte Carlo. ACM Trans. Graph. 33(4): 51:1-51:12 (2014) - [j13]Marco Manzi, Fabrice Rousselle, Markus Kettunen, Jaakko Lehtinen, Matthias Zwicker:
Improved sampling for gradient-domain metropolis light transport. ACM Trans. Graph. 33(6): 178:1-178:12 (2014) - 2013
- [j12]Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila:
Gradient-domain metropolis light transport. ACM Trans. Graph. 32(4): 95:1-95:12 (2013) - [j11]Miika Aittala, Tim Weyrich, Jaakko Lehtinen:
Practical SVBRDF capture in the frequency domain. ACM Trans. Graph. 32(4): 110:1-110:12 (2013) - 2012
- [j10]Jaakko Lehtinen, Timo Aila, Samuli Laine, Frédo Durand:
Reconstructing the indirect light field for global illumination. ACM Trans. Graph. 31(4): 51:1-51:10 (2012) - 2011
- [j9]Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand:
Decoupled sampling for graphics pipelines. ACM Trans. Graph. 30(3): 17:1-17:17 (2011) - [j8]Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand:
Temporal light field reconstruction for rendering distribution effects. ACM Trans. Graph. 30(4): 55 (2011) - [j7]Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen:
Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. 30(4): 106 (2011) - 2010
- [j6]Ilya Baran, Jaakko Lehtinen, Jovan Popovic:
Sketching Clothoid Splines Using Shortest Paths. Comput. Graph. Forum 29(2): 655-664 (2010) - [j5]Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen:
A hierarchical volumetric shadow algorithm for single scattering. ACM Trans. Graph. 29(6): 178 (2010) - 2008
- [j4]Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Frédo Durand, François X. Sillion, Timo Aila:
A meshless hierarchical representation for light transport. ACM Trans. Graph. 27(3): 37 (2008) - 2007
- [j3]Jaakko Lehtinen:
A framework for precomputed and captured light transport. ACM Trans. Graph. 26(4): 13 (2007) - 2006
- [j2]Jaakko Lehtinen, Samuli Laine, Timo Aila:
An Improved Physically-Based Soft Shadow Volume Algorithm. Comput. Graph. Forum 25(3): 303-312 (2006) - 2005
- [j1]Samuli Laine, Timo Aila, Ulf Assarsson, Jaakko Lehtinen, Tomas Akenine-Möller:
Soft shadow volumes for ray tracing. ACM Trans. Graph. 24(3): 1156-1165 (2005)
Conference and Workshop Papers
- 2024
- [c25]Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine:
Analyzing and Improving the Training Dynamics of Diffusion Models. CVPR 2024: 24174-24184 - 2023
- [c24]Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki:
Solving Audio Inverse Problems with a Diffusion Model. ICASSP 2023: 1-5 - [c23]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. ICLR 2023 - [c22]Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen:
A Hybrid Generator Architecture for Controllable Face Synthesis. SIGGRAPH (Conference Paper Track) 2023: 69:1-69:10 - 2022
- [c21]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras:
Generating Long Videos of Dynamic Scenes. NeurIPS 2022 - 2021
- [c20]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. NeurIPS 2021: 852-863 - [c19]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. EGSR (DL) 2021: 85-97 - 2020
- [c18]Noshaba Cheema, Laura A. Frey-Law, Kourosh Naderi, Jaakko Lehtinen, Philipp Slusallek, Perttu Hämäläinen:
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning. CHI 2020: 1-13 - [c17]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CVPR 2020: 8107-8116 - [c16]Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen:
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. MLSP 2020: 1-6 - [c15]Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris:
GANSpace: Discovering Interpretable GAN Controls. NeurIPS 2020 - [c14]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. NeurIPS 2020 - 2019
- [c13]Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. ICCV 2019: 10550-10559 - [c12]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS 2019: 3929-3938 - [c11]Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila:
High-Quality Self-Supervised Deep Image Denoising. NeurIPS 2019: 6968-6978 - [c10]Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS 2019: 9605-9616 - 2018
- [c9]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR 2018 - [c8]Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila:
Noise2Noise: Learning Image Restoration without Clean Data. ICML 2018: 2971-2980 - 2017
- [c7]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen:
Production-level facial performance capture using deep convolutional neural networks. Symposium on Computer Animation 2017: 10:1-10:10 - 2016
- [c6]Peter Hedman, Tero Karras, Jaakko Lehtinen:
Sequential Monte Carlo instant radiosity. I3D 2016: 121-128 - 2015
- [c5]Marco Manzi, Markus Kettunen, Miika Aittala, Jaakko Lehtinen, Frédo Durand, Matthias Zwicker:
Gradient-Domain Bidirectional Path Tracing. EGSR (EI&I) 2015: 65-74 - 2007
- [c4]Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila:
Incremental Instant Radiosity for Real-Time Indirect Illumination. Rendering Techniques 2007: 277-286 - 2005
- [c3]Jan Kautz, Peter-Pike Sloan, Jaakko Lehtinen:
Precomputed radiance transfer: theory and practice. SIGGRAPH Courses 2005: 1 - 2004
- [c2]Jan Kautz, Jaakko Lehtinen, Timo Aila:
Hemispherical Rasterization for Self-Shadowing of Dynamic Objects. Rendering Techniques 2004: 179-184 - 2003
- [c1]Jaakko Lehtinen, Jan Kautz:
Matrix radiance transfer. SI3D 2003: 59-64
Editorship
- 2015
- [e2]Jaakko Lehtinen, Derek Nowrouzezahrai:
26th Eurographics Symposium on Rendering, Rendering - Experimental Ideas & Implementations, EGSR 2015, EI&I Track, Darmstadt, Germany, June 23-26, 2015. Eurographics Association 2015 [contents] - 2013
- [e1]Kayvon Fatahalian, Christian Theobalt, Jaakko Lehtinen:
High-Performance Graphics 2013, Anaheim, California, USA, July 19-21, 2013. Proceedings. ACM 2013, ISBN 978-1-4503-2135-8 [contents]
Informal and Other Publications
- 2024
- [i23]Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models. CoRR abs/2404.07724 (2024) - [i22]Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine:
Guiding a Diffusion Model with a Bad Version of Itself. CoRR abs/2406.02507 (2024) - 2023
- [i21]Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine:
Analyzing and Improving the Training Dynamics of Diffusion Models. CoRR abs/2312.02696 (2023) - 2022
- [i20]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. CoRR abs/2203.06026 (2022) - [i19]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras:
Generating Long Videos of Dynamic Scenes. CoRR abs/2206.03429 (2022) - [i18]Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling Random and Cyclic Effects in Time-Lapse Sequences. CoRR abs/2207.01413 (2022) - [i17]Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki:
Solving Audio Inverse Problems with a Diffusion Model. CoRR abs/2210.15228 (2022) - [i16]Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen:
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. CoRR abs/2212.07431 (2022) - 2021
- [i15]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. CoRR abs/2104.03989 (2021) - [i14]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. CoRR abs/2106.12423 (2021) - 2020
- [i13]Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris:
GANSpace: Discovering Interpretable GAN Controls. CoRR abs/2004.02546 (2020) - [i12]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. CoRR abs/2006.06676 (2020) - [i11]Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila:
Modular Primitives for High-Performance Differentiable Rendering. CoRR abs/2011.03277 (2020) - 2019
- [i10]Samuli Laine, Jaakko Lehtinen, Timo Aila:
Self-Supervised Deep Image Denoising. CoRR abs/1901.10277 (2019) - [i9]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. CoRR abs/1904.06991 (2019) - [i8]Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. CoRR abs/1905.01723 (2019) - [i7]Markus Kettunen, Erik Härkönen, Jaakko Lehtinen:
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles. CoRR abs/1906.03973 (2019) - [i6]Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. CoRR abs/1908.01210 (2019) - [i5]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CoRR abs/1912.04958 (2019) - 2018
- [i4]Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila:
Noise2Noise: Learning Image Restoration without Clean Data. CoRR abs/1803.04189 (2018) - [i3]Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen:
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. CoRR abs/1810.02541 (2018) - 2017
- [i2]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR abs/1710.10196 (2017) - 2016
- [i1]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen:
Facial Performance Capture with Deep Neural Networks. CoRR abs/1609.06536 (2016)
Coauthor Index
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