image generationfamily
ESRGAN
GAN super-resolution line from ESRGAN to Real-ESRGAN, the most used practical image upscalers.
Levelfamily
Classimage generation
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive
Lineage
Real-ESRGAN belongs to this familyimage generation22 Jul 2021ESRGAN belongs to this familyimage generation1 Sep 2018Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
Identity
- Developer
- The Chinese University of Hong Kong, Nanyang Technological University
- Family
- not in the notes
- Released
- – sources
- 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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- 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
- not in the notes
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.
Industry Use Cases
No industry use case links this model.
Links
DevelopersThe Chinese University of Hong Konguniversity, China
Nanyang Technological Universityuniversity, Singapore
The Chinese University of Hong Konguniversity, ChinaNanyang Technological Universityuniversity, SingaporeModelESRGANThe Chinese University of Hong Kong, image generation
ESRGANThe Chinese University of Hong Kong, image generationUse Casesnone recorded
Who Runs Itnone recorded
Models 2
Organisations 2
Sources
- github.com/open-mmlab/mmagic/tree/main/configs/esrgan https://github.com/open-mmlab/mmagic/tree/main/configs/esrgan
- github.com/open-mmlab/mmagic/tree/main/configs/real_esrgan https://github.com/open-mmlab/mmagic/tree/main/configs/real_esrgan
- arxiv.org/html/1809.00219 https://arxiv.org/html/1809.00219
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ESRGAN", https://aurion.semai.id/models/esrgan-family/, records of October 2026.