Project AURIONAI Use-Cases Research & Innovation
NVIDIA
image generation

Progressive GAN (PGGAN)

GAN trained by progressively growing generator and discriminator resolution, used for high-resolution face synthesis.

NVIDIANVIDIAUSA
Figure from the Progressive GAN paper: diagram of the generator and discriminator growing from 4 by 4 to 1024 by 1024 pixels during training.
Levelmodel
Classimage generation
Parametersnot in the notes
Contextnot in the notes
Released27 Oct 2017
Opennessunknown
Runs onnot in the notes
Statusactive

R&D Topics

Generative image modelling methods (GANs, diffusion and image translation)produced by

Identity

Developer
NVIDIA
Family
not in the notes
Released
27 Oct 2017 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
Checkpoints in OpenMMLab MMagic; repository licence Apache-2.0, weight terms not separately stated.
Context length
not in the notes
Input
not in the notes
Output
image
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/1710.10196 https://arxiv.org/abs/1710.10196
  2. github.com/open-mmlab/mmagic/tree/main/configs/pggan https://github.com/open-mmlab/mmagic/tree/main/configs/pggan
  3. kaggle.com/models/google/progan-128 https://www.kaggle.com/models/google/progan-128
  4. arxiv.org/html/1710.10196 https://arxiv.org/html/1710.10196

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Progressive GAN (PGGAN)", https://aurion.semai.id/models/pggan/, records of October 2026.