Improved Precision and Recall Metric for Assessing Generative Models T Kynkäänniemi, T Karras, S Laine, J Lehtinen, T Aila Advances in Neural Information Processing Systems, 2019 | 838 | 2019 |
The Role of ImageNet Classes in Fréchet Inception Distance T Kynkäänniemi, T Karras, M Aittala, T Aila, J Lehtinen International Conference on Learning Representations (ICLR), 2022 | 197 | 2022 |
Applying guidance in a limited interval improves sample and distribution quality in diffusion models T Kynkäänniemi, M Aittala, T Karras, S Laine, T Aila, J Lehtinen arXiv preprint arXiv:2404.07724, 2024 | 28 | 2024 |
Guiding a Diffusion Model with a Bad Version of Itself T Karras, M Aittala, T Kynkäänniemi, J Lehtinen, T Aila, S Laine arXiv preprint arXiv:2406.02507, 2024 | 17 | 2024 |
Disentangling Random and Cyclic Effects in Time-lapse Sequences E Härkönen, M Aittala, T Kynkäänniemi, S Laine, T Aila, J Lehtinen ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022 | 7 | 2022 |
Multi-node Training for StyleGAN2 NA Loppi, T Kynkäänniemi Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | | 2021 |
Evaluation Metrics of Generative Adversarial Networks T Kynkäänniemi | | 2019 |
METEO-P/H: Measuring ambient pressure and relative humidity on the ExoMars 2020 landing site T Nikkanen, M Genzer, M Hieta, AM Harri, H Haukka, J Polkko, ... European Planetary Science Congress, EPSC2017-685, 2017 | | 2017 |