Methods › Computer Vision › Generative Models › ProGAN

Progressively Growing GAN

ProGAN

17 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

ProGAN, or Progressively Growing GAN, is a generative adversarial network that utilises a progressively growing training approach. The idea is to grow both the generator and discriminator progressively: starting from a low resolution, we add new layers that model increasingly fine details as training progresses.

Source: Progressive Growing of GANs for Improved Quality,...See Code · tkarras/progressive_growing_of_gans

Papers archive 2025-07-28

17 shown of 17, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 34 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Generation6
Generative Adversarial Network3
Attribute2
Data Augmentation2
Face Generation2
Synthetic Data Generation2
Translation2
Adversarial Defense1
Breast Cancer Detection1
Cancer Classification1
Conditional Image Generation1
DeepFake Detection1
Denoising1
Diagnostic1
Disentanglement1
Diversity1
Ethics1
Face Swapping1
Fake Image Detection1
Image-to-Image Translation1

Usage over time archive 2025-07-28

Papers per year tagged with ProGAN: 2017 to 2025, peak 5 5 0 2017: 1 paper 2017 2018: 1 paper 2018 2019: 0 papers 2019 2020: 4 papers 2020 2021: 1 paper 2021 2022: 1 paper 2022 2023: 2 papers 2023 2024: 5 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (17 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Generative Models

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