# Metalens image quality grading on Metaformer Landscape

Source: [Metalens image quality grading on Metaformer Landscape](<https://www.sota2.com/research/sota/metalens-image-quality-grading-on-metaformer-landscape>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-29T08:22:59.619Z

Evaluation of metalens image quality grading performance on the Metaformer Landscape dataset, reporting correlation metrics like Kendall, Spearman, and Pearson.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Metalens image quality grading |
| Dataset (including any stated split) | Metaformer Landscape |
| Metric | Kendall Correlation |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Kendall Correlation](<https://www.sota2.com/research/sota/metalens-image-quality-grading-on-metaformer-landscape.md?metric=Kendall%20Correlation>): Higher is better; unit: SCALAR.

- [Spearman Correlation](<https://www.sota2.com/research/sota/metalens-image-quality-grading-on-metaformer-landscape.md?metric=Spearman%20Correlation>): Higher is better; unit: SCALAR.

- [Pearson Correlation](<https://www.sota2.com/research/sota/metalens-image-quality-grading-on-metaformer-landscape.md?metric=Pearson%20Correlation>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Kendall Correlation | Result date | Report paper |
| --- | --- | --- | --- |
| MetaRanker | 0.84 | Not recorded | 6a191da9dbd7150506f828d3 |
| GURO | 0.783 | Not recorded | 6a191da9dbd7150506f828d3 |
| LBPS-EIC | 0.657 | Not recorded | 6a191da9dbd7150506f828d3 |
| Bayesian CJ | 0.644 | Not recorded | 6a191da9dbd7150506f828d3 |

### MetaRanker

Kendall Correlation: 0.84. Result ID: 6a194af2fbc373592c138fc0.

[Reporting paper](<https://www.sota2.com/research/paper/6a191da9dbd7150506f828d3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a191da9dbd7150506f828d3.md>)

Recorded evaluation configuration: {"Fixed budget":"B=3N"}. This record does not assert independent reproduction.

### GURO

Kendall Correlation: 0.783. Result ID: 6a194af2fbc373592c138fbd.

[Reporting paper](<https://www.sota2.com/research/paper/6a191da9dbd7150506f828d3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756e1e209131cea67dd3.md>)

[Implementation](<https://github.com/Healthy-AI/GURO>)

Recorded evaluation configuration: {"Fixed budget":"B=3N"}. This record does not assert independent reproduction.

### LBPS-EIC

Kendall Correlation: 0.657. Result ID: 6a194af2fbc373592c138fbf.

[Reporting paper](<https://www.sota2.com/research/paper/6a191da9dbd7150506f828d3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77931e209131cea740d9.md>)

Recorded evaluation configuration: {"Fixed budget":"B=3N"}. This record does not assert independent reproduction.

### Bayesian CJ

Kendall Correlation: 0.644. Result ID: 6a194af2fbc373592c138fbe.

[Reporting paper](<https://www.sota2.com/research/paper/6a191da9dbd7150506f828d3.md>)

Recorded evaluation configuration: {"Fixed budget":"B=3N"}. This record does not assert independent reproduction.

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