IIGROUP/MANIQA

[CVPRW oral 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

/ 100

Emerging

411 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 16 / 25

Stars

411

Forks

Language

Python

License

Apache-2.0

Category

Last pushed

Jun 10, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/IIGROUP/MANIQA"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A...

VQAssessment/FAST-VQA-and-FasterVQA

[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.

pterhoer/FaceImageQuality

Code and information for face image quality assessment with SER-FIQ

vztu/RAPIQUE

[IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated...

TianheWu/Assessor360

[NeurIPS 2023] Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment