Tero Karras

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Image Synthesis

Diffusion Models

Top Venues

Publications

Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
Guiding a Diffusion Model with a Bad Version of Itself. CoRR (2024)
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 (2024)
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 (2023)
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
The Role of ImageNet Classes in Fréchet Inception Distance. ICLR (2023)
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)
Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine
Analyzing and Improving the Training Dynamics of Diffusion Models. CoRR (2023)
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)
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 (2023)
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
The Role of ImageNet Classes in Fréchet Inception Distance. CoRR (2022)
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
Elucidating the Design Space of Diffusion-Based Generative Models. CoRR (2022)
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)
Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. CoRR (2022)
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 (2022)
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS (2022)
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 (2022)
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)
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
Alias-Free Generative Adversarial Networks. CoRR (2021)
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 (2021)
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
Alias-Free Generative Adversarial Networks. NeurIPS (2021)
Tero Karras, Samuli Laine, Timo Aila
A Style-Based Generator Architecture for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
Semi-Supervised StyleGAN for Disentanglement Learning. ICML (2020)
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR (2020)
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
Training Generative Adversarial Networks with Limited Data. CoRR (2020)
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
Modular primitives for high-performance differentiable rendering. ACM Trans. Graph. 39 (6) (2020)
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
Modular Primitives for High-Performance Differentiable Rendering. CoRR (2020)
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
Training Generative Adversarial Networks with Limited Data. NeurIPS (2020)
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
Analyzing and Improving the Image Quality of StyleGAN. CVPR (2020)
Tero Karras, Samuli Laine, Timo Aila
A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR (2019)
Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
High-Quality Self-Supervised Deep Image Denoising. NeurIPS (2019)
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
Improved Precision and Recall Metric for Assessing Generative Models. CoRR (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. CoRR (2019)
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
Analyzing and Improving the Image Quality of StyleGAN. CoRR (2019)
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. ICCV (2019)
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
Noise2Noise: Learning Image Restoration without Clean Data. CoRR (2018)
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR (2018)
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
Noise2Noise: Learning Image Restoration without Clean Data. ICML (2018)
Tero Karras, Samuli Laine, Timo Aila
A Style-Based Generator Architecture for Generative Adversarial Networks. CoRR (2018)
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)
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) (2017)
Peter Hedman, Tero Karras, Jaakko Lehtinen
Sequential Monte Carlo Instant Radiosity. IEEE Trans. Vis. Comput. Graph. 23 (5) (2017)
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) (2017)
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR (2017)
Henri Ylitie, Tero Karras, Samuli Laine
Efficient incoherent ray traversal on GPUs through compressed wide BVHs. High Performance Graphics (2017)
Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen
Facial Performance Capture with Deep Neural Networks. CoRR (2016)
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR (2016)
Peter Hedman, Tero Karras, Jaakko Lehtinen
Sequential Monte Carlo instant radiosity. I3D (2016)
Samuli Laine, Tero Karras
Apex Point Map for Constant-Time Bounding Plane Approximation. EGSR (EI&I) (2015)
Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila
Gradient-domain metropolis light transport. ACM Trans. Graph. 32 (4) (2013)
Tero Karras, Timo Aila
Fast Parallel Construction of High-Quality Bounding Volume Hierarchies. High Performance Graphics (2013)
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)
Samuli Laine, Tero Karras, Timo Aila
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. High Performance Graphics (2013)
Timo Aila, Tero Karras, Samuli Laine
On Quality Metrics of Bounding Volume Hierarchies. High Performance Graphics (2013)
Tero Karras
Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees. High Performance Graphics (2012)
Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen
Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. 30 (4) (2011)
Samuli Laine, Tero Karras
Efficient Sparse Voxel Octrees. IEEE Trans. Vis. Comput. Graph. 17 (8) (2011)
Samuli Laine, Tero Karras
Stratified Sampling for Stochastic Transparency. Comput. Graph. Forum 30 (4) (2011)
Samuli Laine, Tero Karras
High-Performance Software Rasterization on GPUs. High Performance Graphics (2011)
Samuli Laine, Tero Karras
Efficient sparse voxel octrees. SI3D (2010)
Samuli Laine, Tero Karras
Two Methods for Fast Ray-Cast Ambient Occlusion. Comput. Graph. Forum 29 (4) (2010)
Timo Aila, Tero Karras
Architecture considerations for tracing incoherent rays. High Performance Graphics (2010)