Samuli Laine
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Analyzing and Improving the Training Dynamics of Diffusion Models. | Tero Karras, Miika Aittala, Jaakko Lehtinen, Janne Hellsten, Timo Aila, Samuli Laine |
| 2023 | ICML | StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis. | Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila |
| 2023 | SIGGRAPH | A Hybrid Generator Architecture for Controllable Face Synthesis. | Dann Mensah, Nam Hee Kim, Miika Aittala, Samuli Laine, Jaakko Lehtinen |
| 2020 | BMVC | Semi-supervised semantic segmentation needs strong, varied perturbations. | Geoffrey French, Samuli Laine, Timo Aila, Michal Mackiewicz, Graham D. Finlayson |
| 2020 | CVPR | Analyzing and Improving the Image Quality of StyleGAN. | Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila |
| 2019 | CHI | 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 |
| 2019 | CVPR | A Style-Based Generator Architecture for Generative Adversarial Networks. | Tero Karras, Samuli Laine, Timo Aila |
| 2018 | ICLR | Progressive Growing of GANs for Improved Quality, Stability, and Variation. | Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen |
| 2018 | ICLR | Feature-Based Metrics for Exploring the Latent Space of Generative Models. | Samuli Laine |
| 2018 | ICML | Noise2Noise: Learning Image Restoration without Clean Data. | Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila |
| 2017 | ICLR | Temporal Ensembling for Semi-Supervised Learning. | Samuli Laine, Timo Aila |
| 2017 | SCA | Production-level facial performance capture using deep convolutional neural networks. | Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen |
| 2013 | SIGGRAPH | Ray tracing is the future and ever will be... | Alexander Keller, Tero Karras, Ingo Wald, Timo Aila, Samuli Laine, Jacco Bikker, Christiaan P. Gribble, Won-Jong Lee, James McCombe |