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ORCIDTero Karras
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- affiliation: NVIDIA Research
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2020 – today
- 2024
[c30]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
- [c29]Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park
, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein:
Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV 2023: 4194-4206 - [c28]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. ICLR 2023 - [c27]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]Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein:
Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR abs/2304.02602 (2023) - [i19]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
- [c26]Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 2022: 16102-16112 - [c25]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 - [c24]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS 2022 - [i18]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. CoRR abs/2203.06026 (2022) - [i17]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. CoRR abs/2206.00364 (2022) - [i16]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) - [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) - [i14]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
- [j9]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4217-4228 (2021) - [c23]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. NeurIPS 2021: 852-863 - [i13]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. CoRR abs/2106.12423 (2021) - [i12]Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein:
Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR abs/2112.07945 (2021) - 2020
- [j8]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) - [c22]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CVPR 2020: 8107-8116 - [c21]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. ICML 2020: 7360-7369 - [c20]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. NeurIPS 2020 - [i11]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR abs/2003.03461 (2020) - [i10]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. CoRR abs/2006.06676 (2020) - [i9]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
- [c19]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR 2019: 4401-4410 - [c18]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 - [c17]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS 2019: 3929-3938 - [c16]Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila:
High-Quality Self-Supervised Deep Image Denoising. NeurIPS 2019: 6968-6978 - [i8]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. CoRR abs/1904.06991 (2019) - [i7]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) - [i6]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
- [c15]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR 2018 - [c14]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 - [i5]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) - [i4]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CoRR abs/1812.04948 (2018) - 2017
- [j7]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) - [j6]Peter Hedman, Tero Karras, Jaakko Lehtinen:
Sequential Monte Carlo Instant Radiosity. IEEE Trans. Vis. Comput. Graph. 23(5): 1442-1453 (2017) - [c13]Henri Ylitie, Tero Karras, Samuli Laine:
Efficient incoherent ray traversal on GPUs through compressed wide BVHs. High Performance Graphics 2017: 4:1-4:13 - [c12]Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz:
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) 2017 - [c11]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 - [i3]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR abs/1710.10196 (2017) - 2016
- [c10]Peter Hedman, Tero Karras, Jaakko Lehtinen:
Sequential Monte Carlo instant radiosity. I3D 2016: 121-128 - [i2]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen:
Facial Performance Capture with Deep Neural Networks. CoRR abs/1609.06536 (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) - 2015
- [c9]Samuli Laine, Tero Karras:
Apex Point Map for Constant-Time Bounding Plane Approximation. EGSR (EI&I) 2015: 51-55 - 2013
- [j5]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) - [c8]Tero Karras, Timo Aila:
Fast Parallel Construction of High-Quality Bounding Volume Hierarchies. High Performance Graphics 2013: 89-100 - [c7]Timo Aila, Tero Karras, Samuli Laine:
On Quality Metrics of Bounding Volume Hierarchies. High Performance Graphics 2013: 101-108 - [c6]Samuli Laine, Tero Karras, Timo Aila:
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. High Performance Graphics 2013: 137-144 - [c5]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
- [c4]Tero Karras:
Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees. High Performance Graphics 2012: 33-37 - 2011
- [j4]Samuli Laine, Tero Karras:
Stratified Sampling for Stochastic Transparency. Comput. Graph. Forum 30(4): 1197-1204 (2011) - [j3]Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen:
Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. 30(4): 106 (2011) - [j2]Samuli Laine, Tero Karras:
Efficient Sparse Voxel Octrees. IEEE Trans. Vis. Comput. Graph. 17(8): 1048-1059 (2011) - [c3]Samuli Laine, Tero Karras:
High-Performance Software Rasterization on GPUs. High Performance Graphics 2011: 79-88 - 2010
- [j1]Samuli Laine, Tero Karras:
Two Methods for Fast Ray-Cast Ambient Occlusion. Comput. Graph. Forum 29(4): 1325-1333 (2010) - [c2]Timo Aila, Tero Karras:
Architecture considerations for tracing incoherent rays. High Performance Graphics 2010: 113-122 - [c1]Samuli Laine, Tero Karras:
Efficient sparse voxel octrees. SI3D 2010: 55-63
Coauthor Index
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