# AIGC Video Quality Assessment on FETV Temporal aspect (test)

Source: [AIGC Video Quality Assessment on FETV Temporal aspect (test)](<https://www.sota2.com/research/sota/aigc-video-quality-assessment-on-fetv-temporal-aspect-test>)

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

Data updated: 2026-04-21T09:45:26.118Z

Evaluation of AIGC Video Quality Assessment models using the test split of the FETV Temporal aspect dataset, measured by SRCC, PLCC, and KRCC.

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 | AIGC Video Quality Assessment |
| Dataset (including any stated split) | FETV Temporal aspect (test) |
| Metric | SRCC |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [SRCC](<https://www.sota2.com/research/sota/aigc-video-quality-assessment-on-fetv-temporal-aspect-test.md?metric=SRCC>): Higher is better; unit: SCALAR.

- [PLCC](<https://www.sota2.com/research/sota/aigc-video-quality-assessment-on-fetv-temporal-aspect-test.md?metric=PLCC>): Higher is better; unit: SCALAR.

- [KRCC](<https://www.sota2.com/research/sota/aigc-video-quality-assessment-on-fetv-temporal-aspect-test.md?metric=KRCC>): Higher is better; unit: SCALAR.

## Recorded results

| Method | SRCC | Result date | Report paper |
| --- | --- | --- | --- |
| RefVQA | 0.719 | Not recorded | 69e704c47d0172140ec7ef0b |
| UGVQ | 0.512 | Not recorded | 69e704c47d0172140ec7ef0b |
| SimpleVQA | 0.501 | Not recorded | 69e704c47d0172140ec7ef0b |
| DOVER | 0.494 | Not recorded | 69e704c47d0172140ec7ef0b |
| FastVQA | 0.482 | Not recorded | 69e704c47d0172140ec7ef0b |

### RefVQA

SRCC: 0.719. Result ID: 69e7464547f34ce924cde7eb.

[Reporting paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

Recorded evaluation configuration: {"Training Dataset":"LGVQ"}. This record does not assert independent reproduction.

### UGVQ

SRCC: 0.512. Result ID: 69e7464547f34ce924cde7ea.

[Reporting paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76691e209131cea6cc7d.md>)

Recorded evaluation configuration: {"Year":"TOMM 25","Training Dataset":"LGVQ"}. This record does not assert independent reproduction.

### SimpleVQA

SRCC: 0.501. Result ID: 69e7464547f34ce924cde7e7.

[Reporting paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dbd1e209131cea3bb85.md>)

[Implementation](<https://github.com/sunwei925/SimpleVQA>)

Recorded evaluation configuration: {"Year":"ACM MM 22","Training Dataset":"LGVQ"}. This record does not assert independent reproduction.

### DOVER

SRCC: 0.494. Result ID: 69e7464547f34ce924cde7e9.

[Reporting paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb71e209131cea41b5c.md>)

[Implementation](<https://github.com/VQAssessment/DOVER>)

Recorded evaluation configuration: {"Year":"ICCV 23","Training Dataset":"LGVQ"}. This record does not assert independent reproduction.

### FastVQA

SRCC: 0.482. Result ID: 69e7464547f34ce924cde7e8.

[Reporting paper](<https://www.sota2.com/research/paper/69e704c47d0172140ec7ef0b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cfa1e209131cea370cf.md>)

[Implementation](<https://github.com/timothyhtimothy/FAST-VQA>)

Recorded evaluation configuration: {"Year":"ECCV 22","Training Dataset":"LGVQ"}. This record does not assert independent reproduction.

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