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

Split-plane shadow volumes. - Samuli Laine (Graphics Hardware, 2005)

Ambient occlusion fields. - Janne Kontkanen; Samuli Laine (SI3D, 2005)

A general algorithm for output-sensitive visibility preprocessing. - Samuli Laine (SI3D, 2005)

A Family of Inexpensive Sampling Schemes. - Jon Hasselgren; Tomas Akenine-Möller; Samuli Laine (Comput. Graph. Forum, 2005)

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

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

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)

Sampling Precomputed Volumetric Lighting. - Janne Kontkanen; Samuli Laine (J. Graph. Tools, 2006)

Efficient physically-based shadow algorithms. - Samuli Laine (2006)

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

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

Restart trail for stackless BVH traversal. - Samuli Laine (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)

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)

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)

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

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

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)

A Topological Approach to Voxelization. - Samuli Laine (Comput. Graph. Forum, 2013)

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

Occluder Simplification Using Planar Sections. - Ari Silvennoinen; Hannu Saransaari; Samuli Laine; Jaakko Lehtinen (Comput. Graph. Forum, 2014)

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)

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

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

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

Feature-Based Metrics for Exploring the Latent Space of Generative Models. - Samuli Laine (ICLR (Workshop), 2018)

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

NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation. - Joohwan Kim; Michael Stengel; Alexander Majercik; Shalini De Mello; David Dunn; Samuli Laine; Morgan McGuire; David Luebke (CHI, 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)

Appearance-Driven Automatic 3D Model Simplification. - Jon Hasselgren; Jacob Munkberg; Jaakko Lehtinen; Miika Aittala; Samuli Laine (EGSR (DL), 2021)

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

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)

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)

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)

A Hybrid Generator Architecture for Controllable Face Synthesis. - Dann Mensah; Nam Hee Kim; Miika Aittala; Samuli Laine; Jaakko Lehtinen (SIGGRAPH (Conference Paper Track), 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)