Project AURIONAI Use-Cases Research & Innovation
image generation

SRGAN and SRResNet

GAN-based photo-realistic single-image super-resolution and its residual network generator.

Twitter (now X)
Levelmodel
Classimage generation
Parametersnot in the notes
Contextnot in the notes
Released15 Sep 2016
Opennessunknown
Runs onmobile or NPU
Statusactive

R&D Topics

Identity

Developer
Twitter (now X)
Family
not in the notes
Released
15 Sep 2016 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
Qualcomm AI Hub ships an SRGAN build. Checkpoints in OpenMMLab MMagic; repository licence Apache-2.0, weight terms not separately stated.
Context length
not in the notes
Input
image
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
mobile or NPU
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/1609.04802 https://arxiv.org/abs/1609.04802
  2. github.com/open-mmlab/mmagic/tree/main/configs/srgan_res... https://github.com/open-mmlab/mmagic/tree/main/configs/srgan_resnet
  3. aihub.qualcomm.com/models/srgan https://aihub.qualcomm.com/models/srgan
  4. arxiv.org/html/1609.04802 https://arxiv.org/html/1609.04802

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "SRGAN and SRResNet", https://aurion.semai.id/models/srgan/, records of October 2026.