Laine, Samuli
7 papers on CoChatORCID 0000-0002-0903-3197
Most cited papers
- Verified
A Style-Based Generator Architecture for Generative Adversarial Networks
Karras, T., Laine, S., & Aila, T. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisFace recognition and analysis
Cited by 11,714
- Verified
Analyzing and Improving the Image Quality of StyleGAN
Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., & Aila, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 6,332
- Verified
Analyzing and Improving the Image Quality of StyleGAN
Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., & Aila, T. (2019) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 6,332
- Verified
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T., Aila, T., Laine, S., & Lehtinen, J. (2017) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 4,727
- Verified
Training Generative Adversarial Networks with Limited Data
Karras, T., Aittala, M., Hellsten, J., Laine, S., Lehtinen, J., & Aila, T. (2020) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 1,170
- Verified
Elucidating the Design Space of Diffusion-Based Generative Models
Karras, T., Aittala, M., Aila, T., & Laine, S. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 702
- Verified
Improved Precision and Recall Metric for Assessing Generative Models
Kynkäänniemi, T., Karras, T., Laine, S., Lehtinen, J., & Aila, T. (2019) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 379
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free