Optimized Shadow Mapping Using the Stencil Buffer. - Jukka Arvo; Timo Aila (J. Graphics, GPU, & Game Tools, 2003)

Delay streams for graphics hardware. - Timo Aila; Ville Miettinen; Petri Nordlund (ACM Trans. Graph., 2003)

A hierarchical shadow volume algorithm. - Timo Aila; Tomas Akenine-Möller (Graphics Hardware, 2004)

Alias-Free Shadow Maps. - Timo Aila; Samuli Laine (Rendering Techniques, 2004)

Hemispherical Rasterization for Self-Shadowing of Dynamic Objects. - Jan Kautz; Jaakko Lehtinen; Timo Aila (Rendering Techniques, 2004)

dPVS: An Occlusion Culling System for Massive Dynamic Environments. - Timo Aila; Ville Miettinen (IEEE Computer Graphics and Applications, 2004)

Hierarchical Penumbra Casting. - Samuli Laine; Timo Aila (Comput. Graph. Forum, 2005)

Conservative and Tiled Rasterization Using a Modified Triangle Set-Up. - Tomas Akenine-Möller; Timo Aila (J. Graph. Tools, 2005)

Soft shadow volumes for ray tracing. - Samuli Laine; Timo Aila; Ulf Assarsson; Jaakko Lehtinen; Tomas Akenine-Möller (ACM Trans. Graph., 2005)

Efficient algorithms for occlusion culling and shadows. - Timo Aila (2005)

Ambient Occlusion for Animated Characters. - Janne Kontkanen; Timo Aila (Rendering Techniques, 2006)

A Weighted Error Metric and Optimization Method for Antialiasing Patterns. - Samuli Laine; Timo Aila (Comput. Graph. Forum, 2006)

An Improved Physically-Based Soft Shadow Volume Algorithm. - Jaakko Lehtinen; Samuli Laine; Timo Aila (Comput. Graph. Forum, 2006)

Incremental Instant Radiosity for Real-Time Indirect Illumination. - Samuli Laine; Hannu Saransaari; Janne Kontkanen; Jaakko Lehtinen; Timo Aila (Rendering Techniques, 2007)

A hardware architecture for surface splatting. - Tim Weyrich; Simon Heinzle; Timo Aila; Daniel Bernhard Fasnacht; Stephan Oetiker; Mario Botsch; Cyril Flaig; Simon Mall; Kaspar Rohrer; Norbert Felber; Hubert Kaeslin; Markus H. Gross (ACM Trans. Graph., 2007)

A meshless hierarchical representation for light transport. - Jaakko Lehtinen; Matthias Zwicker; Emmanuel Turquin; Janne Kontkanen; Frédo Durand; François X. Sillion; Timo Aila (ACM Trans. Graph., 2008)

Understanding the efficiency of ray traversal on GPUs. - Timo Aila; Samuli Laine (High Performance Graphics, 2009)

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

PantaRay: fast ray-traced occlusion caching of massive scenes. - Jacopo Pantaleoni; Luca Fascione; Martin Hill; Timo Aila (ACM Trans. Graph., 2010)

A local image reconstruction algorithm for stochastic rendering. - Peter Shirley; Timo Aila; Jonathan Cohen; Eric Enderton; Samuli Laine; David P. Luebke; Morgan McGuire (SI3D, 2011)

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

Temporal light field reconstruction for rendering distribution effects. - Jaakko Lehtinen; Timo Aila; Jiawen Chen 001; Samuli Laine; Frédo Durand (ACM Trans. Graph., 2011)

Reconstructing the indirect light field for global illumination. - Jaakko Lehtinen; Timo Aila; Samuli Laine; Frédo Durand (ACM Trans. Graph., 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)

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)

Reflectance modeling by neural texture synthesis. - Miika Aittala; Timo Aila; Jaakko Lehtinen (ACM Trans. Graph., 2016)

Reconstructing Intensity Images from Binary Spatial Gradient Cameras. - Suren Jayasuriya; Orazio Gallo; Jinwei Gu; Timo Aila; Jan Kautz (CVPR Workshops, 2017)

Temporal Ensembling for Semi-Supervised Learning. - Samuli Laine; Timo Aila (ICLR (Poster), 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)

Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder. - Chakravarty R. Alla Chaitanya; Anton S. Kaplanyan; Christoph Schied; Marco Salvi; Aaron E. Lefohn; Derek Nowrouzezahrai; Timo Aila (ACM Trans. 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)

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)

Self-Supervised Deep Image Denoising. - Samuli Laine; Jaakko Lehtinen; Timo Aila (CoRR, 2019)

Consistency regularization and CutMix for semi-supervised semantic segmentation. - Geoffrey French; Timo Aila; Samuli Laine; Michal Mackiewicz; Graham D. Finlayson (CoRR, 2019)

Semi-supervised semantic segmentation needs strong, varied perturbations. - Geoffrey French; Samuli Laine; Timo Aila; Michal Mackiewicz; Graham D. Finlayson (BMVC, 2020)

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

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)

Disentangling random and cyclic effects in time-lapse sequences. - Erik Härkönen; Miika Aittala; Tuomas Kynkäänniemi; Samuli Laine; Timo Aila; Jaakko Lehtinen (ACM Trans. Graph., 2022)

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)