Tero Karras - RankMe

68 papers A* 19Journal 35Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models. CoRR David McAllister, Miika Aittala, Tero Karras, Janne Hellsten, Angjoo Kanazawa, Timo Aila, Samuli Laine
2025	A*	`conf`	A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. CVPR Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2025	J	`jnl`	A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. CoRR Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2024	A*	`conf`	Analyzing and Improving the Training Dynamics of Diffusion Models. CVPR Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine
2024	A*	`conf`	Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models. NeurIPS Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
2024	J	`jnl`	Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models. CoRR Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
2024	J	`jnl`	Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang
2024	A*	`conf`	Guiding a Diffusion Model with a Bad Version of Itself. NeurIPS Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
2024	J	`jnl`	Guiding a Diffusion Model with a Bad Version of Itself. CoRR Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
2023	J	`jnl`	Analyzing and Improving the Training Dynamics of Diffusion Models. CoRR Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine
2023	A*	`conf`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV 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
2023	J	`jnl`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR 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
2023	A*	`conf`	StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. ICML Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila
2023	J	`jnl`	StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. CoRR Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila
2023	A*	`conf`	The Role of ImageNet Classes in Fréchet Inception Distance. ICLR Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
2022	A*	`conf`	Efficient Geometry-aware 3D Generative Adversarial Networks. CVPR 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
2022	A*	`conf`	Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
2022	J	`jnl`	Elucidating the Design Space of Diffusion-Based Generative Models. CoRR Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
2022	A*	`conf`	Generating Long Videos of Dynamic Scenes. NeurIPS Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022	J	`jnl`	Generating Long Videos of Dynamic Scenes. CoRR Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022	J	`jnl`	Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. CoRR Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen
2022	J	`jnl`	The Role of ImageNet Classes in Fréchet Inception Distance. CoRR Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
2022	J	`jnl`	eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR 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
2021	J	`jnl`	A Style-Based Generator Architecture for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. Tero Karras, Samuli Laine, Timo Aila
2021	A*	`conf`	Alias-Free Generative Adversarial Networks. NeurIPS Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2021	J	`jnl`	Alias-Free Generative Adversarial Networks. CoRR Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2021	J	`jnl`	Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR 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
2020	A*	`conf`	Analyzing and Improving the Image Quality of StyleGAN. CVPR Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2020	J	`jnl`	Modular Primitives for High-Performance Differentiable Rendering. CoRR Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
2020	J	`jnl`	Modular primitives for high-performance differentiable rendering. ACM Trans. Graph. Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
2020	A*	`conf`	Semi-Supervised StyleGAN for Disentanglement Learning. ICML Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar
2020	J	`jnl`	Semi-Supervised StyleGAN for Disentanglement Learning. CoRR Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
2020	A*	`conf`	Training Generative Adversarial Networks with Limited Data. NeurIPS Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
2020	J	`jnl`	Training Generative Adversarial Networks with Limited Data. CoRR Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
2019	A*	`conf`	A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR Tero Karras, Samuli Laine, Timo Aila
2019	J	`jnl`	Analyzing and Improving the Image Quality of StyleGAN. CoRR Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2019	A*	`conf`	Few-Shot Unsupervised Image-to-Image Translation. ICCV Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019	J	`jnl`	Few-Shot Unsupervised Image-to-Image Translation. CoRR Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019	A*	`conf`	High-Quality Self-Supervised Deep Image Denoising. NeurIPS Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
2019	A*	`conf`	Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
2019	J	`jnl`	Improved Precision and Recall Metric for Assessing Generative Models. CoRR Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
2018	J	`jnl`	A Style-Based Generator Architecture for Generative Adversarial Networks. CoRR Tero Karras, Samuli Laine, Timo Aila
2018	A*	`conf`	Noise2Noise: Learning Image Restoration without Clean Data. ICML Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
2018	J	`jnl`	Noise2Noise: Learning Image Restoration without Clean Data. CoRR Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
2018	—	`conf`	Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
2017	J	`jnl`	Audio-driven facial animation by joint end-to-end learning of pose and emotion. ACM Trans. Graph. Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen
2017	—	`conf`	Efficient incoherent ray traversal on GPUs through compressed wide BVHs. High Performance Graphics Henri Ylitie, Tero Karras, Samuli Laine
2017	—	`conf`	Production-level facial performance capture using deep convolutional neural networks. Symposium on Computer Animation Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen
2017	J	`jnl`	Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
2017	—	`conf`	Pruning Convolutional Neural Networks for Resource Efficient Inference. ICLR (Poster) Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
2017	J	`jnl`	Sequential Monte Carlo Instant Radiosity. IEEE Trans. Vis. Comput. Graph. Peter Hedman, Tero Karras, Jaakko Lehtinen
2016	J	`jnl`	Facial Performance Capture with Deep Neural Networks. CoRR Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen
2016	J	`jnl`	Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. CoRR Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
2016	—	`conf`	Sequential Monte Carlo instant radiosity. I3D Peter Hedman, Tero Karras, Jaakko Lehtinen
2015	—	`conf`	Apex Point Map for Constant-Time Bounding Plane Approximation. EGSR (EI&I) Samuli Laine, Tero Karras
2013	—	`conf`	Fast Parallel Construction of High-Quality Bounding Volume Hierarchies. High Performance Graphics Tero Karras, Timo Aila
2013	J	`jnl`	Gradient-domain metropolis light transport. ACM Trans. Graph. Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila
2013	—	`conf`	Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. High Performance Graphics Samuli Laine, Tero Karras, Timo Aila
2013	—	`conf`	On Quality Metrics of Bounding Volume Hierarchies. High Performance Graphics Timo Aila, Tero Karras, Samuli Laine
2013	—	`conf`	Ray tracing is the future and ever will be... SIGGRAPH Courses Alexander Keller, Tero Karras, Ingo Wald, Timo Aila, Samuli Laine, Jacco Bikker, Christiaan P. Gribble, Won-Jong Lee, James McCombe
2012	—	`conf`	Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees. High Performance Graphics Tero Karras
2011	J	`jnl`	Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen
2011	J	`jnl`	Efficient Sparse Voxel Octrees. IEEE Trans. Vis. Comput. Graph. Samuli Laine, Tero Karras
2011	—	`conf`	High-Performance Software Rasterization on GPUs. High Performance Graphics Samuli Laine, Tero Karras
2011	J	`jnl`	Stratified Sampling for Stochastic Transparency. Comput. Graph. Forum Samuli Laine, Tero Karras
2010	—	`conf`	Architecture considerations for tracing incoherent rays. High Performance Graphics Timo Aila, Tero Karras
2010	—	`conf`	Efficient sparse voxel octrees. SI3D Samuli Laine, Tero Karras
2010	J	`jnl`	Two Methods for Fast Ray-Cast Ambient Occlusion. Comput. Graph. Forum Samuli Laine, Tero Karras