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Miika Aittala
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2020 – today
- 2024
- [c17]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
- [j15]Stavros Diolatzis
, Jan Novák
MesoGAN: Generative Neural Reflectance Shells. Comput. Graph. Forum 42(6) (2023) - [j14]Heikki Timonen, Miika Aittala, Jaakko Lehtinen:
Invertible Hierarchical Generative Model for Images. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park
Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV 2023: 4194-4206 - [c15]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. ICLR 2023 - [c14]Dann Mensah
A Hybrid Generator Architecture for Controllable Face Synthesis. SIGGRAPH (Conference Paper Track) 2023: 69:1-69:10 - [i19]Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park
Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR abs/2304.02602 (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
- [j13]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) - [c13]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras:
Generating Long Videos of Dynamic Scenes. NeurIPS 2022 - [c12]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. NeurIPS 2022 - [i17]Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen:
The Role of ImageNet Classes in Fréchet Inception Distance. CoRR abs/2203.06026 (2022) - [i16]Tero Karras, Miika Aittala, Timo Aila, Samuli Laine:
Elucidating the Design Space of Diffusion-Based Generative Models. CoRR abs/2206.00364 (2022) - [i15]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros
Generating Long Videos of Dynamic Scenes. CoRR abs/2206.03429 (2022) - [i14]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) - [i13]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) - [i12]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
- [j12]Theo Thonat, Yagiz Aksoy
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs. Comput. Graph. Forum 40(4): 73-86 (2021) - [c11]Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. ICCV 2021: 2310-2319 - [c10]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. NeurIPS 2021: 852-863 - [c9]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. EGSR (DL) 2021: 85-97 - [i11]Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine:
Appearance-Driven Automatic 3D Model Simplification. CoRR abs/2104.03989 (2021) - [i10]Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Alias-Free Generative Adversarial Networks. CoRR abs/2106.12423 (2021) - [i9]Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. CoRR abs/2108.13027 (2021) - 2020
- [c8]Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila:
Analyzing and Improving the Image Quality of StyleGAN. CVPR 2020: 8107-8116 - [c7]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. NeurIPS 2020 - [i8]Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Training Generative Adversarial Networks with Limited Data. CoRR abs/2006.06676 (2020)
2010 – 2019
- 2019
- [j11]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Flexible SVBRDF Capture with a Multi-Image Deep Network. Comput. Graph. Forum 38(4): 1-13 (2019) - [j10]Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand:
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38(4): 125:1-125:12 (2019) - [c6]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. ICCV 2019: 4079-4088 - [c5]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS 2019: 14311-14321 - [i7]Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand:
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation. CoRR abs/1904.08825 (2019) - [i6]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Flexible SVBRDF Capture with a Multi-Image Deep Network. CoRR abs/1906.11557 (2019) - [i5]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. CoRR abs/1910.08131 (2019) - [i4]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR abs/1912.02314 (2019) - [i3]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
- [j9]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Single-image SVBRDF capture with a rendering-aware deep network. ACM Trans. Graph. 37(4): 128 (2018) - [j8]Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen:
Differentiable Monte Carlo ray tracing through edge sampling. ACM Trans. Graph. 37(6): 222 (2018) - [c4]Miika Aittala
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. ECCV (8) 2018: 748-764 - [c3]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 - [i2]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) - [i1]Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network. CoRR abs/1810.09718 (2018) - 2016
- [b1]Miika Aittala:
Computational Methods for Capture and Reproduction of Photorealistic Surface Appearance ; Laskennallisia menetelmiä pintamateriaalien ulkonäön kaappaamiseen ja toisintamiseen. Aalto University, Helsinki, Finland, 2016 - [j7]Miika Aittala, Timo Aila, Jaakko Lehtinen:
Reflectance modeling by neural texture synthesis. ACM Trans. Graph. 35(4): 65:1-65:13 (2016) - 2015
- [j6]Miika Aittala, Tim Weyrich
Two-shot SVBRDF capture for stationary materials. ACM Trans. Graph. 34(4): 110:1-110:13 (2015) - [j5]Markus Kettunen
Gradient-domain path tracing. ACM Trans. Graph. 34(4): 123:1-123:13 (2015) - [c2]Marco Manzi, Markus Kettunen
Gradient-Domain Bidirectional Path Tracing. EGSR (EI&I) 2015: 65-74 - 2013
- [j4]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) - [j3]Miika Aittala, Tim Weyrich
Practical SVBRDF capture in the frequency domain. ACM Trans. Graph. 32(4): 110:1-110:12 (2013) - 2010
- [j2]Miika Aittala:
Inverse lighting and photorealistic rendering for augmented reality. Vis. Comput. 26(6-8): 669-678 (2010) - [j1]Mikael Wahlström, Miika Aittala, Helinä Kotilainen, Tiina Yli-Karhu, Janne Porkka
CAVE for collaborative patient room design: analysis with end-user opinion contrasting method. Virtual Real. 14(3): 197-211 (2010) - [c1]Otto Korkalo, Miika Aittala, Sanni Siltanen:
Light-weight marker hiding for augmented reality. ISMAR 2010: 247-248
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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