# dingkeyan93/IQA-optimization

<https://repo.masters-masters.com/en/repos/dingkeyan93/IQA-optimization>

[Home](https://repo.masters-masters.com/en) › [dingkeyan93](https://repo.masters-masters.com/en/owners/dingkeyan93) › [IQA-optimization](https://repo.masters-masters.com/en/repos/dingkeyan93/IQA-optimization)

dingkeyan93/IQA-optimization has 323 stars on GitHub. Its RepoMasters card: Alpha tier. Comparison of IQA models in Perceptual Optimization Language: Python.

| Field | Value |
| --- | --- |
| Owner | [dingkeyan93](https://repo.masters-masters.com/en/owners/dingkeyan93) |
| Stars | 323 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | pytorch, optimization, loss-functions, image-quality-assessment, steerable-filters, vif, fsim, lpips, dists, ssim |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [dingkeyan93/IQA-optimization](https://github.com/dingkeyan93/IQA-optimization) |

## Repository

Comparison of IQA models in Perceptual Optimization

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.