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Samuli Laine
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2020 – today
- 2024
- [c33]Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine:
Analyzing and Improving the Training Dynamics of Diffusion Models. CVPR 2024: 24174-24184 - [i21]Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models. CoRR abs/2404.07724 (2024) - [i20]Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine:
Guiding a Diffusion Model with a Bad Version of Itself. CoRR abs/2406.02507 (2024) - 2023
- [c32]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. ICML 2023: 30105-30118 - [c31]Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen:
A Hybrid Generator Architecture for Controllable Face Synthesis. SIGGRAPH (Conference Paper Track) 2023: 69:1-69:10 - [i19]Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila:
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. CoRR abs/2301.09515 (2023) - [i18]Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine:
Analyzing and Improving the Training Dynamics of Diffusion Models. CoRR abs/2312.02696 (2023) - 2022
- [j19]Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling random and cyclic effects in time-lapse sequences. ACM Trans. Graph. 41(4): 72:1-72:13 (2022) - [c30]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS 2022 - [i17]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. CoRR abs/2206.00364 (2022) - [i16]Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling Random and Cyclic Effects in Time-Lapse Sequences. CoRR abs/2207.01413 (2022) - [i15]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:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR abs/2211.01324 (2022) - [i14]Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen:
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. CoRR abs/2212.07431 (2022) - 2021
- [j18]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4217-4228 (2021) - [c29]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. NeurIPS 2021: 852-863 - [c28]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. EGSR (DL) 2021: 85-97 - [i13]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. CoRR abs/2104.03989 (2021) - [i12]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. CoRR abs/2106.12423 (2021) - 2020
- [j17]Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila:
Modular primitives for high-performance differentiable rendering. ACM Trans. Graph. 39(6): 194:1-194:14 (2020) - [c27]Geoffrey French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham D. Finlayson:
Semi-supervised semantic segmentation needs strong, varied perturbations. BMVC 2020 - [c26]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CVPR 2020: 8107-8116 - [c25]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. NeurIPS 2020 - [i11]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. CoRR abs/2006.06676 (2020) - [i10]Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila:
Modular Primitives for High-Performance Differentiable Rendering. CoRR abs/2011.03277 (2020)
2010 – 2019
- 2019
- [c24]Joohwan Kim, Michael Stengel, Alexander Majercik, Shalini De Mello, David Dunn, Samuli Laine, Morgan McGuire, David Luebke:
NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation. CHI 2019: 550 - [c23]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR 2019: 4401-4410 - [c22]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. NeurIPS 2019: 3929-3938 - [c21]Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila:
High-Quality Self-Supervised Deep Image Denoising. NeurIPS 2019: 6968-6978 - [i9]Samuli Laine, Jaakko Lehtinen, Timo Aila:
Self-Supervised Deep Image Denoising. CoRR abs/1901.10277 (2019) - [i8]Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. CoRR abs/1904.06991 (2019) - [i7]Geoffrey French, Timo Aila, Samuli Laine, Michal Mackiewicz, Graham D. Finlayson:
Consistency regularization and CutMix for semi-supervised semantic segmentation. CoRR abs/1906.01916 (2019) - [i6]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CoRR abs/1912.04958 (2019) - 2018
- [c20]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. ICLR 2018 - [c19]Samuli Laine:
Feature-Based Metrics for Exploring the Latent Space of Generative Models. ICLR (Workshop) 2018 - [c18]Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila:
Noise2Noise: Learning Image Restoration without Clean Data. ICML 2018: 2971-2980 - [i5]Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila:
Noise2Noise: Learning Image Restoration without Clean Data. CoRR abs/1803.04189 (2018) - [i4]Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. CoRR abs/1812.04948 (2018) - 2017
- [j16]Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen:
Audio-driven facial animation by joint end-to-end learning of pose and emotion. ACM Trans. Graph. 36(4): 94:1-94:12 (2017) - [c17]Henri Ylitie, Tero Karras, Samuli Laine:
Efficient incoherent ray traversal on GPUs through compressed wide BVHs. High Performance Graphics 2017: 4:1-4:13 - [c16]Samuli Laine, Timo Aila:
Temporal Ensembling for Semi-Supervised Learning. ICLR (Poster) 2017 - [c15]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen:
Production-level facial performance capture using deep convolutional neural networks. Symposium on Computer Animation 2017: 10:1-10:10 - [i3]Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen:
Progressive Growing of GANs for Improved Quality, Stability, and Variation. CoRR abs/1710.10196 (2017) - 2016
- [i2]Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Jaakko Lehtinen:
Facial Performance Capture with Deep Neural Networks. CoRR abs/1609.06536 (2016) - [i1]Samuli Laine, Timo Aila:
Temporal Ensembling for Semi-Supervised Learning. CoRR abs/1610.02242 (2016) - 2015
- [c14]Samuli Laine, Tero Karras:
Apex Point Map for Constant-Time Bounding Plane Approximation. EGSR (EI&I) 2015: 51-55 - 2014
- [j15]Ari Silvennoinen, Hannu Saransaari, Samuli Laine, Jaakko Lehtinen:
Occluder Simplification Using Planar Sections. Comput. Graph. Forum 33(1): 235-245 (2014) - 2013
- [j14]Samuli Laine:
A Topological Approach to Voxelization. Comput. Graph. Forum 32(4): 77-86 (2013) - [j13]Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila:
Gradient-domain metropolis light transport. ACM Trans. Graph. 32(4): 95:1-95:12 (2013) - [c13]Timo Aila, Tero Karras, Samuli Laine:
On Quality Metrics of Bounding Volume Hierarchies. High Performance Graphics 2013: 101-108 - [c12]Samuli Laine, Tero Karras, Timo Aila:
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs. High Performance Graphics 2013: 137-144 - [c11]Alexander Keller, Tero Karras, Ingo Wald, Timo Aila, Samuli Laine, Jacco Bikker, Christiaan P. Gribble, Won-Jong Lee, James McCombe:
Ray tracing is the future and ever will be... SIGGRAPH Courses 2013: 9:1-9:7 - 2012
- [j12]Jaakko Lehtinen, Timo Aila, Samuli Laine, Frédo Durand:
Reconstructing the indirect light field for global illumination. ACM Trans. Graph. 31(4): 51:1-51:10 (2012) - 2011
- [j11]Samuli Laine, Tero Karras:
Stratified Sampling for Stochastic Transparency. Comput. Graph. Forum 30(4): 1197-1204 (2011) - [j10]Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand:
Temporal light field reconstruction for rendering distribution effects. ACM Trans. Graph. 30(4): 55 (2011) - [j9]Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen:
Clipless dual-space bounds for faster stochastic rasterization. ACM Trans. Graph. 30(4): 106 (2011) - [j8]Samuli Laine, Tero Karras:
Efficient Sparse Voxel Octrees. IEEE Trans. Vis. Comput. Graph. 17(8): 1048-1059 (2011) - [c10]Samuli Laine, Tero Karras:
High-Performance Software Rasterization on GPUs. High Performance Graphics 2011: 79-88 - [c9]Peter Shirley, Timo Aila, Jonathan Cohen, Eric Enderton, Samuli Laine, David P. Luebke, Morgan McGuire:
A local image reconstruction algorithm for stochastic rendering. SI3D 2011: 9-14 - 2010
- [j7]Samuli Laine, Tero Karras:
Two Methods for Fast Ray-Cast Ambient Occlusion. Comput. Graph. Forum 29(4): 1325-1333 (2010) - [c8]Samuli Laine:
Restart trail for stackless BVH traversal. High Performance Graphics 2010: 107-111 - [c7]Samuli Laine, Tero Karras:
Efficient sparse voxel octrees. SI3D 2010: 55-63
2000 – 2009
- 2009
- [c6]Timo Aila, Samuli Laine:
Understanding the efficiency of ray traversal on GPUs. High Performance Graphics 2009: 145-149 - 2007
- [c5]Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila:
Incremental Instant Radiosity for Real-Time Indirect Illumination. Rendering Techniques 2007: 277-286 - 2006
- [b1]Samuli Laine:
Efficient physically-based shadow algorithms. Helsinki University of Technology, Finland, 2006 - [j6]Samuli Laine, Timo Aila:
A Weighted Error Metric and Optimization Method for Antialiasing Patterns. Comput. Graph. Forum 25(1): 83-94 (2006) - [j5]Jaakko Lehtinen, Samuli Laine, Timo Aila:
An Improved Physically-Based Soft Shadow Volume Algorithm. Comput. Graph. Forum 25(3): 303-312 (2006) - [j4]Janne Kontkanen, Samuli Laine:
Sampling Precomputed Volumetric Lighting. J. Graph. Tools 11(3): 1-16 (2006) - 2005
- [j3]Samuli Laine, Timo Aila:
Hierarchical Penumbra Casting. Comput. Graph. Forum 24(3): 313-322 (2005) - [j2]Jon Hasselgren, Tomas Akenine-Möller, Samuli Laine:
A Family of Inexpensive Sampling Schemes. Comput. Graph. Forum 24(4): 843-848 (2005) - [j1]Samuli Laine, Timo Aila, Ulf Assarsson, Jaakko Lehtinen, Tomas Akenine-Möller:
Soft shadow volumes for ray tracing. ACM Trans. Graph. 24(3): 1156-1165 (2005) - [c4]Samuli Laine:
Split-plane shadow volumes. Graphics Hardware 2005: 23-32 - [c3]Samuli Laine:
A general algorithm for output-sensitive visibility preprocessing. SI3D 2005: 31-40 - [c2]Janne Kontkanen, Samuli Laine:
Ambient occlusion fields. SI3D 2005: 41-48 - 2004
- [c1]Timo Aila, Samuli Laine:
Alias-Free Shadow Maps. Rendering Techniques 2004: 161-166
Coauthor Index
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