GitHub / avinabsaha / ReIQA
Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avinabsaha%2FReIQA
Stars: 102
Forks: 7
Open issues: 5
License: mit
Language: Python
Size: 16.5 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: about 2 months ago
Pushed at: 12 months ago
Last synced at: about 1 month ago
Topics: blind-image-quality-assessment, contrastive-learning, cvpr, cvpr2023, fr-iqa, full-reference-image-quality-assessment, image-processing, image-quality, moco-v2, no-reference-image-quality-assessment, nr-iqa, re-iqa, resnet-50, unsupervised-learning