https://github.com/celuigi/biqa4consumerphotographs
Source code for the paper "Blind Image Quality Assessment of Authentically Distorted Images"
https://github.com/celuigi/biqa4consumerphotographs
authentically-distorted-images biqa consumer-photographs convolutional-neural-networks deep-learning image-quality-assessment machine-learning no-reference nr-iqa pytorch
Last synced: 2 months ago
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Source code for the paper "Blind Image Quality Assessment of Authentically Distorted Images"
- Host: GitHub
- URL: https://github.com/celuigi/biqa4consumerphotographs
- Owner: CeLuigi
- Created: 2021-10-28T18:17:34.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-02T09:01:06.000Z (about 3 years ago)
- Last Synced: 2023-03-02T10:03:36.471Z (about 2 years ago)
- Topics: authentically-distorted-images, biqa, consumer-photographs, convolutional-neural-networks, deep-learning, image-quality-assessment, machine-learning, no-reference, nr-iqa, pytorch
- Homepage:
- Size: 3.04 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0