default search action
Jaakko Lehtinen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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 - [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
- [j32]Heikki Timonen, Miika Aittala, Jaakko Lehtinen:
Invertible Hierarchical Generative Model for Images. Trans. Mach. Learn. Res. 2023 (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
A Hybrid Generator Architecture for Controllable Face Synthesis. SIGGRAPH (Conference Paper Track) 2023: 69:1-69:10 - [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
- [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) - [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 - [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
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
- [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 - [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
- [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) - [c18]Noshaba Cheema
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 - [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)
2010 – 2019
- 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
Deep convolutional reconstruction for gradient-domain rendering. ACM Trans. Graph. 38(4): 126:1-126:12 (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 - [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
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
- [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) - [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 - [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
- [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
Sequential Monte Carlo Instant Radiosity. IEEE Trans. Vis. Comput. Graph. 23(5): 1442-1453 (2017) - [c7]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li
Production-level facial performance capture using deep convolutional neural networks. Symposium on Computer Animation 2017: 10:1-10:10 - [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
- [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
Temporal gradient-domain path tracing. ACM Trans. Graph. 35(6): 246:1-246:9 (2016) - [c6]Peter Hedman
Sequential Monte Carlo instant radiosity. I3D 2016: 121-128 - [i1]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen:
Facial Performance Capture with Deep Neural Networks. CoRR abs/1609.06536 (2016) - 2015
- [j19]Matthias Zwicker, Wojciech Jarosz
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering. Comput. Graph. Forum 34(2): 667-681 (2015) - [j18]Miika Aittala, Tim Weyrich
Two-shot SVBRDF capture for stationary materials. ACM Trans. Graph. 34(4): 110:1-110:13 (2015) - [j17]Markus Kettunen
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) - [c5]Marco Manzi, Markus Kettunen
Gradient-Domain Bidirectional Path Tracing. EGSR (EI&I) 2015: 65-74 - [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] - 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
Online motion synthesis using sequential Monte Carlo. ACM Trans. Graph. 33(4): 51:1-51:12 (2014) - [j13]Marco Manzi, Fabrice Rousselle
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
Practical SVBRDF capture in the frequency domain. ACM Trans. Graph. 32(4): 110:1-110:12 (2013) - [e1]Kayvon Fatahalian, Christian Theobalt
High-Performance Graphics 2013, Anaheim, California, USA, July 19-21, 2013. Proceedings. ACM 2013, ISBN 978-1-4503-2135-8 [contents] - 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
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)
2000 – 2009
- 2008
- [j4]Jaakko Lehtinen, Matthias Zwicker
A meshless hierarchical representation for light transport. ACM Trans. Graph. 27(3): 37 (2008) - 2007
- [b1]Jaakko Lehtinen:
Theory and algorithms for efficient physically-based illumination. Aalto University, Espoo, Finland, 2007 - [j3]Jaakko Lehtinen:
A framework for precomputed and captured light transport. ACM Trans. Graph. 26(4): 13 (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 - 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) - [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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: