lidq92 / WaDIQaM

[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Date Created 2018-04-18 (6 years ago)

Commits 29 (last one 3 years ago)

Stargazers 128 (0 this week)

Watchers 2 (0 this week)

Forks 36

License unknown

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RepositoryStats indexes 595,856 repositories, of these lidq92/WaDIQaM is ranked #248,652 (58th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,657/119,431.

lidq92/WaDIQaM is also tagged with popular topics, for these it's ranked: pytorch (#3,178/6025), deep-neural-networks (#353/634)

Other Information

lidq92/WaDIQaM has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 8 closed issues.

All Topics

pytorch full-reference-iqa deep-neural-networks image-quality-assessment blind-image-quality-assessment

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updated: 2024-12-04 @ 12:40pm, id: 130065918 / R_kgDOB8Cl_g