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Timo Aila
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2020 – today
- 2024
- [c31]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
- [c30]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. ICLR 2023 - [c29]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. ICML 2023: 30105-30118 - [i21]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. CoRR abs/2301.09515 (2023) - [i20]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
- [j21]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) - [c28]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 - [c27]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS 2022 - [i19]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. CoRR abs/2203.06026 (2022) - [i18]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. CoRR abs/2206.00364 (2022) - [i17]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) - [i16]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) - [i15]Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR abs/2211.01324 (2022) - 2021
- [j20]Tero Karras, Samuli Laine
A Style-Based Generator Architecture for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4217-4228 (2021) - [c26]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. NeurIPS 2021: 852-863 - [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
- [j19]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) - [c25]Geoffrey French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham D. Finlayson:
Semi-supervised semantic segmentation needs strong, varied perturbations. BMVC 2020 - [c24]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CVPR 2020: 8107-8116 - [c23]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. NeurIPS 2020 - [i13]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. CoRR abs/2006.06676 (2020) - [i12]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
- [c22]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR 2019: 4401-4410 - [c21]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 - [c20]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS 2019: 3929-3938 - [c19]Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila:
High-Quality Self-Supervised Deep Image Denoising. NeurIPS 2019: 6968-6978 - [i11]Samuli Laine, Jaakko Lehtinen, Timo Aila:
Self-Supervised Deep Image Denoising. CoRR abs/1901.10277 (2019) - [i10]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. CoRR abs/1904.06991 (2019) - [i9]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) - [i8]Geoffrey French, Timo Aila, Samuli Laine, Michal Mackiewicz
Consistency regularization and CutMix for semi-supervised semantic segmentation. CoRR abs/1906.01916 (2019) - [i7]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
- [c18]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR 2018 - [c17]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 - [i6]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) - [i5]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CoRR abs/1812.04948 (2018) - 2017
- [j18]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) - [j17]Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, Christoph Schied, Marco Salvi, Aaron E. Lefohn, Derek Nowrouzezahrai, Timo Aila:
Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder. ACM Trans. Graph. 36(4): 98:1-98:12 (2017) - [c16]Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, Jan Kautz:
Reconstructing Intensity Images from Binary Spatial Gradient Cameras. CVPR Workshops 2017: 337-343 - [c15]Samuli Laine, Timo Aila:
Temporal Ensembling for Semi-Supervised Learning. ICLR (Poster) 2017 - [c14]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) 2017 - [c13]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 - [i4]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR abs/1710.10196 (2017) - 2016
- [j16]Miika Aittala, Timo Aila, Jaakko Lehtinen:
Reflectance modeling by neural texture synthesis. ACM Trans. Graph. 35(4): 65:1-65:13 (2016) - [i3]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen:
Facial Performance Capture with Deep Neural Networks. CoRR abs/1609.06536 (2016) - [i2]Samuli Laine, Timo Aila:
Temporal Ensembling for Semi-Supervised Learning. CoRR abs/1610.02242 (2016) - [i1]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR abs/1611.06440 (2016) - 2013
- [j15]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) - [c12]Tero Karras, Timo Aila:
Fast Parallel Construction of High-Quality Bounding Volume Hierarchies. High Performance Graphics 2013: 89-100 - [c11]Timo Aila, Tero Karras, Samuli Laine:
On Quality Metrics of Bounding Volume Hierarchies. High Performance Graphics 2013: 101-108 - [c10]Samuli Laine, Tero Karras, Timo Aila:
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. High Performance Graphics 2013: 137-144 - [c9]Alexander Keller, Tero Karras, Ingo Wald, Timo Aila, Samuli Laine, Jacco Bikker, Christiaan P. Gribble, Won-Jong Lee, James McCombe:
Ray tracing is the future and ever will be... SIGGRAPH Courses 2013: 9:1-9:7 - 2012
- [j14]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
- [j13]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) - [j12]Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen:
Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. 30(4): 106 (2011) - [c8]Peter Shirley, Timo Aila, Jonathan Cohen, Eric Enderton, Samuli Laine, David P. Luebke, Morgan McGuire:
A local image reconstruction algorithm for stochastic rendering. SI3D 2011: 9-14 - 2010
- [j11]Jacopo Pantaleoni, Luca Fascione, Martin Hill, Timo Aila:
PantaRay: fast ray-traced occlusion caching of massive scenes. ACM Trans. Graph. 29(4): 37:1-37:10 (2010) - [c7]Timo Aila, Tero Karras:
Architecture considerations for tracing incoherent rays. High Performance Graphics 2010: 113-122
2000 – 2009
- 2009
- [c6]Timo Aila, Samuli Laine:
Understanding the efficiency of ray traversal on GPUs. High Performance Graphics 2009: 145-149 - 2008
- [j10]Jaakko Lehtinen, Matthias Zwicker
A meshless hierarchical representation for light transport. ACM Trans. Graph. 27(3): 37 (2008) - 2007
- [j9]Tim Weyrich
A hardware architecture for surface splatting. ACM Trans. Graph. 26(3): 90 (2007) - [c5]Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila:
Incremental Instant Radiosity for Real-Time Indirect Illumination. Rendering Techniques 2007: 277-286 - [e1]Mark Segal, Timo Aila:
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware 2007, San Diego, California, USA, August 4-5, 2007. Eurographics Association 2007, ISBN 978-1-59593-625-7 [contents] - 2006
- [j8]Samuli Laine, Timo Aila:
A Weighted Error Metric and Optimization Method for Antialiasing Patterns. Comput. Graph. Forum 25(1): 83-94 (2006) - [j7]Jaakko Lehtinen, Samuli Laine, Timo Aila:
An Improved Physically-Based Soft Shadow Volume Algorithm. Comput. Graph. Forum 25(3): 303-312 (2006) - [c4]Janne Kontkanen, Timo Aila:
Ambient Occlusion for Animated Characters. Rendering Techniques 2006: 343-348 - 2005
- [b1]Timo Aila:
Efficient algorithms for occlusion culling and shadows. Helsinki University of Technology, Finland, 2005 - [j6]Samuli Laine, Timo Aila:
Hierarchical Penumbra Casting. Comput. Graph. Forum 24(3): 313-322 (2005) - [j5]Tomas Akenine-Möller, Timo Aila:
Conservative and Tiled Rasterization Using a Modified Triangle Set-Up. J. Graph. Tools 10(3): 1-8 (2005) - [j4]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) - 2004
- [j3]Timo Aila, Ville Miettinen:
dPVS: An Occlusion Culling System for Massive Dynamic Environments. IEEE Computer Graphics and Applications 24(2): 86-97 (2004) - [c3]Timo Aila, Tomas Akenine-Möller:
A hierarchical shadow volume algorithm. Graphics Hardware 2004: 15-23 - [c2]Timo Aila, Samuli Laine:
Alias-Free Shadow Maps. Rendering Techniques 2004: 161-166 - [c1]Jan Kautz, Jaakko Lehtinen, Timo Aila:
Hemispherical Rasterization for Self-Shadowing of Dynamic Objects. Rendering Techniques 2004: 179-184 - 2003
- [j2]Jukka Arvo, Timo Aila:
Optimized Shadow Mapping Using the Stencil Buffer. J. Graphics, GPU, & Game Tools 8(3): 23-32 (2003) - [j1]Timo Aila, Ville Miettinen, Petri Nordlund:
Delay streams for graphics hardware. ACM Trans. Graph. 22(3): 792-800 (2003)
Coauthor Index
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