# Expression Control Accuracy on VoxCeleb2

Source: [Expression Control Accuracy on VoxCeleb2](<https://www.sota2.com/research/sota/expression-control-accuracy-on-voxceleb2>)

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

Data updated: 2026-02-26T05:50:40.625Z

Evaluation of model performance in controlling facial expression synthesis on the VoxCeleb2 dataset, typically measured using Mean Squared Error (MSE).

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 | Expression Control Accuracy |
| Dataset (including any stated split) | VoxCeleb2 |
| Metric | MSE |
| Unit | SCALAR |
| Direction | Lower 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

- [MSE](<https://www.sota2.com/research/sota/expression-control-accuracy-on-voxceleb2.md?metric=MSE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | MSE | Result date | Report paper |
| --- | --- | --- | --- |
| PD-FGC | 0.156 | Not recorded | 68fa6e0e1e209131cea3db85 |
| EAMM | 0.192 | Not recorded | 68fa6e0e1e209131cea3db85 |
| EAMM | 0.196 | Not recorded | 68fa6e0e1e209131cea3db85 |
| PC-AVS | 0.202 | Not recorded | 68fa6e0e1e209131cea3db85 |

### PD-FGC

MSE: 0.156. Result ID: 698ff74d3a6c314849fd229a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e0e1e209131cea3db85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e0e1e209131cea3db85.md>)

[Implementation](<https://dorniwang.github.io/PD-FGC/>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### EAMM

MSE: 0.192. Result ID: 698ff74d3a6c314849fd2299.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e0e1e209131cea3db85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d831e209131cea3a40d.md>)

Recorded evaluation configuration: {"variant":"neutral"}. This record does not assert independent reproduction.

### EAMM

MSE: 0.196. Result ID: 698ff74d3a6c314849fd2298.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e0e1e209131cea3db85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d831e209131cea3a40d.md>)

Recorded evaluation configuration: {"variant":"emo"}. This record does not assert independent reproduction.

### PC-AVS

MSE: 0.202. Result ID: 698ff74d3a6c314849fd2297.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e0e1e209131cea3db85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69cb1e209131cea24114.md>)

[Implementation](<https://hangz-nju-cuhk.github.io/projects/PC-AVS>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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