Architecture considerations for tracing incoherent rays. - Timo Aila; Tero Karras (High Performance Graphics, 2010)

Two Methods for Fast Ray-Cast Ambient Occlusion. - Samuli Laine; Tero Karras (Comput. Graph. Forum, 2010)

High-Performance Software Rasterization on GPUs. - Samuli Laine; Tero Karras (High Performance Graphics, 2011)

Stratified Sampling for Stochastic Transparency. - Samuli Laine; Tero Karras (Comput. Graph. Forum, 2011)

Clipless dual-space bounds for faster stochastic rasterization. - Samuli Laine; Timo Aila; Tero Karras; Jaakko Lehtinen (ACM Trans. Graph., 2011)

Efficient Sparse Voxel Octrees. - Samuli Laine; Tero Karras (IEEE Trans. Vis. Comput. Graph., 2011)

Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees. - Tero Karras (High Performance Graphics, 2012)

On Quality Metrics of Bounding Volume Hierarchies. - Timo Aila; Tero Karras; Samuli Laine (High Performance Graphics, 2013)

Fast Parallel Construction of High-Quality Bounding Volume Hierarchies. - Tero Karras; Timo Aila (High Performance Graphics, 2013)

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. - Samuli Laine; Tero Karras; Timo Aila (High Performance Graphics, 2013)

Ray tracing is the future and ever will be... - Alexander Keller 001; Tero Karras; Ingo Wald; Timo Aila; Samuli Laine; Jacco Bikker; Christiaan P. Gribble; Won-Jong Lee; James McCombe (SIGGRAPH Courses, 2013)

Gradient-domain metropolis light transport. - Jaakko Lehtinen; Tero Karras; Samuli Laine; Miika Aittala; Frédo Durand; Timo Aila (ACM Trans. Graph., 2013)

Apex Point Map for Constant-Time Bounding Plane Approximation. - Samuli Laine; Tero Karras (EGSR (EI&I), 2015)

Facial Performance Capture with Deep Neural Networks. - Samuli Laine; Tero Karras; Timo Aila; Antti Herva; Jaakko Lehtinen (CoRR, 2016)

Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (CoRR, 2016)

Efficient incoherent ray traversal on GPUs through compressed wide BVHs. - Henri Ylitie; Tero Karras; Samuli Laine (High Performance Graphics, 2017)

Pruning Convolutional Neural Networks for Resource Efficient Inference. - Pavlo Molchanov 001; Stephen Tyree; Tero Karras; Timo Aila; Jan Kautz (ICLR (Poster), 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 015; Jaakko Lehtinen (Symposium on Computer Animation, 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)

Sequential Monte Carlo Instant Radiosity. - Peter Hedman; Tero Karras; Jaakko Lehtinen (IEEE Trans. Vis. Comput. Graph., 2017)

Progressive Growing of GANs for Improved Quality, Stability, and Variation. - Tero Karras; Timo Aila; Samuli Laine; Jaakko Lehtinen (ICLR, 2018)

Noise2Noise: Learning Image Restoration without Clean Data. - Jaakko Lehtinen; Jacob Munkberg; Jon Hasselgren; Samuli Laine; Tero Karras; Miika Aittala; Timo Aila (ICML, 2018)

Few-Shot Unsupervised Image-to-Image Translation. - Ming-Yu Liu 001; Xun Huang; Arun Mallya; Tero Karras; Timo Aila; Jaakko Lehtinen; Jan Kautz (ICCV, 2019)

Improved Precision and Recall Metric for Assessing Generative Models. - Tuomas Kynkäänniemi; Tero Karras; Samuli Laine; Jaakko Lehtinen; Timo Aila (NeurIPS, 2019)

High-Quality Self-Supervised Deep Image Denoising. - Samuli Laine; Tero Karras; Jaakko Lehtinen; Timo Aila (NeurIPS, 2019)

Analyzing and Improving the Image Quality of StyleGAN. - Tero Karras; Samuli Laine; Miika Aittala; Janne Hellsten; Jaakko Lehtinen; Timo Aila (CVPR, 2020)

Semi-Supervised StyleGAN for Disentanglement Learning. - Weili Nie; Tero Karras; Animesh Garg; Shoubhik Debnath; Anjul Patney; Ankit B. Patel; Animashree Anandkumar (ICML, 2020)

Training Generative Adversarial Networks with Limited Data. - Tero Karras; Miika Aittala; Janne Hellsten; Samuli Laine; Jaakko Lehtinen; Timo Aila (NeurIPS, 2020)

Modular primitives for high-performance differentiable rendering. - Samuli Laine; Janne Hellsten; Tero Karras; Yeongho Seol; Jaakko Lehtinen; Timo Aila (ACM Trans. Graph., 2020)

Alias-Free Generative Adversarial Networks. - Tero Karras; Miika Aittala; Samuli Laine; Erik Härkönen; Janne Hellsten; Jaakko Lehtinen; Timo Aila (NeurIPS, 2021)

A Style-Based Generator Architecture for Generative Adversarial Networks. - Tero Karras; Samuli Laine; Timo Aila (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Efficient Geometry-aware 3D Generative Adversarial Networks. - Eric R. Chan; Connor Z. Lin; Matthew A. Chan 001; Koki Nagano; Boxiao Pan; Shalini De Mello; Orazio Gallo; Leonidas J. Guibas; Jonathan Tremblay; Sameh Khamis; Tero Karras; Gordon Wetzstein (CVPR, 2022)

Generating Long Videos of Dynamic Scenes. - Tim Brooks; Janne Hellsten; Miika Aittala; Ting-Chun Wang; Timo Aila; Jaakko Lehtinen; Ming-Yu Liu 001; Alexei A. Efros; Tero Karras (NeurIPS, 2022)

Elucidating the Design Space of Diffusion-Based Generative Models. - Tero Karras; Miika Aittala; Timo Aila; Samuli Laine (NeurIPS, 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 001 (CoRR, 2022)

Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. - Onni Kosomaa; Samuli Laine; Tero Karras; Miika Aittala; Jaakko Lehtinen (CoRR, 2022)

Generative Novel View Synthesis with 3D-Aware Diffusion Models. - Eric R. Chan; Koki Nagano; Matthew A. Chan 001; Alexander W. Bergman; Jeong Joon Park; Axel Levy; Miika Aittala; Shalini De Mello; Tero Karras; Gordon Wetzstein (ICCV, 2023)

The Role of ImageNet Classes in Fréchet Inception Distance. - Tuomas Kynkäänniemi; Tero Karras; Miika Aittala; Timo Aila; Jaakko Lehtinen (ICLR, 2023)

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. - Axel Sauer; Tero Karras; Samuli Laine; Andreas Geiger 001; Timo Aila (ICML, 2023)

Analyzing and Improving the Training Dynamics of Diffusion Models. - Tero Karras; Miika Aittala; Jaakko Lehtinen; Janne Hellsten; Timo Aila; Samuli Laine (CVPR, 2024)

Guiding a Diffusion Model with a Bad Version of Itself. - Tero Karras; Miika Aittala; Tuomas Kynkäänniemi; Jaakko Lehtinen; Timo Aila; Samuli Laine (NeurIPS, 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 (NeurIPS, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - 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; et al. (CoRR, 2024)

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. - Andrew Z. Wang; Songwei Ge; Tero Karras; Ming-Yu Liu 001; Yogesh Balaji (CVPR, 2025)