What is recorded here?
Introduced a style-based GAN generator architecture with scale-specific synthesis control and measured improvements in interpolation and disentanglement on face-image generation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The arXiv preprint appeared in December 2018; this record uses the CVPR 2019 publication year. Findings are tied to the paper's models, data and metrics, not all image synthesis.
Read the original work
- Karras and colleagues: StyleGAN style-based generator architecture — original paper
- Karras and colleagues: StyleGAN style-based generator architecture — company research page
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Tero Karras; Samuli Laine; Timo Aila
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Karras and colleagues: StyleGAN style-based generator architecture
Introduced a style-based GAN generator architecture with scale-specific synthesis control and measured improvements in interpolation and disentanglement on face-image generation.
Scientific scope
The arXiv preprint appeared in December 2018; this record uses the CVPR 2019 publication year. Findings are tied to the paper's models, data and metrics, not all image synthesis.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Tero Karras; Samuli Laine; Timo Aila
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.