Tero Karras

According to our database, Tero Karras authored at least 42 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Guiding a Diffusion Model with a Bad Version of Itself.

Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine

CoRR, 2024

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen

CoRR, 2024

Analyzing and Improving the Training Dynamics of Diffusion Models.

Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.

Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila

Proceedings of the International Conference on Machine Learning, 2023

The Role of ImageNet Classes in Fréchet Inception Distance.

Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Novel View Synthesis with 3D-Aware Diffusion Models.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction.

Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen

CoRR, 2022

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

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

CoRR, 2022

Elucidating the Design Space of Diffusion-Based Generative Models.

Tero Karras, Miika Aittala, Timo Aila, Samuli Laine

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Long Videos of Dynamic Scenes.

Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Geometry-aware 3D Generative Adversarial Networks.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Style-Based Generator Architecture for Generative Adversarial Networks.

Tero Karras, Samuli Laine, Timo Aila

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Alias-Free Generative Adversarial Networks.

Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Modular primitives for high-performance differentiable rendering.

Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila

ACM Trans. Graph., 2020

Training Generative Adversarial Networks with Limited Data.

Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised StyleGAN for Disentanglement Learning.

Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

Analyzing and Improving the Image Quality of StyleGAN.

Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

High-Quality Self-Supervised Deep Image Denoising.

Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improved Precision and Recall Metric for Assessing Generative Models.

Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Few-Shot Unsupervised Image-to-Image Translation.

Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Noise2Noise: Learning Image Restoration without Clean Data.

Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila

Proceedings of the 35th International Conference on Machine Learning, 2018

Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Sequential Monte Carlo Instant Radiosity.

Peter Hedman, Tero Karras, Jaakko Lehtinen

IEEE Trans. Vis. Comput. Graph., 2017

Audio-driven facial animation by joint end-to-end learning of pose and emotion.

Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen

ACM Trans. Graph., 2017

Production-level facial performance capture using deep convolutional neural networks.

Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen

Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

Pruning Convolutional Neural Networks for Resource Efficient Inference.

Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz

Proceedings of the 5th International Conference on Learning Representations, 2017

Efficient incoherent ray traversal on GPUs through compressed wide BVHs.

Henri Ylitie, Tero Karras, Samuli Laine

Proceedings of High Performance Graphics, 2017

2016

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.

Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz

CoRR, 2016

Facial Performance Capture with Deep Neural Networks.

Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen

CoRR, 2016

2015

Apex Point Map for Constant-Time Bounding Plane Approximation.

Samuli Laine, Tero Karras

Proceedings of the 26th Eurographics Symposium on Rendering, Rendering, 2015

2013

Gradient-domain metropolis light transport.

Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila

ACM Trans. Graph., 2013

Ray tracing is the future and ever will be...

Alexander Keller, Tero Karras, Ingo Wald, Timo Aila, Samuli Laine, Jacco Bikker, Christiaan P. Gribble, Won-Jong Lee, James McCombe

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs.

Samuli Laine, Tero Karras, Timo Aila

Proceedings of the High-Performance Graphics 2013, 2013

Fast Parallel Construction of High-Quality Bounding Volume Hierarchies.

Tero Karras, Timo Aila

Proceedings of the High-Performance Graphics 2013, 2013

On Quality Metrics of Bounding Volume Hierarchies.

Timo Aila, Tero Karras, Samuli Laine

Proceedings of the High-Performance Graphics 2013, 2013

2012

Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees.

Tero Karras

Proceedings of the EUROGRAPHICS Conference on High Performance Graphics 2012, 2012

2011

Efficient Sparse Voxel Octrees.

Samuli Laine, Tero Karras

IEEE Trans. Vis. Comput. Graph., 2011

Clipless dual-space bounds for faster stochastic rasterization.

Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen

ACM Trans. Graph., 2011

Stratified Sampling for Stochastic Transparency.

Samuli Laine, Tero Karras

Comput. Graph. Forum, 2011

High-Performance Software Rasterization on GPUs.

Samuli Laine, Tero Karras

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2011, 2011

2010

Two Methods for Fast Ray-Cast Ambient Occlusion.

Samuli Laine, Tero Karras

Comput. Graph. Forum, 2010

Architecture considerations for tracing incoherent rays.

Timo Aila, Tero Karras

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2010, 2010