# Video Generation on VBench (PSNR, SSIM, LPIPS)

Source: [Video Generation on VBench (PSNR, SSIM, LPIPS)](<https://www.sota2.com/research/sota/video-generation-on-vbench-psnr-ssim-lpips>)

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

Data updated: 2026-05-20T09:14:12.909Z

Evaluation of Video Generation models on the VBench dataset using standard image quality metrics: PSNR, SSIM, MS SSIM, and LPIPS.

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 | Video Generation |
| Dataset (including any stated split) | VBench |
| Metric | PSNR |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [PSNR](<https://www.sota2.com/research/sota/video-generation-on-vbench-psnr-ssim-lpips.md?metric=PSNR>): Higher is better; unit: SCALAR.

- [SSIM](<https://www.sota2.com/research/sota/video-generation-on-vbench-psnr-ssim-lpips.md?metric=SSIM>): Higher is better; unit: PERCENT.

- [MS-SSIM](<https://www.sota2.com/research/sota/video-generation-on-vbench-psnr-ssim-lpips.md?metric=MS-SSIM>): Higher is better; unit: PERCENT.

- [LPIPS](<https://www.sota2.com/research/sota/video-generation-on-vbench-psnr-ssim-lpips.md?metric=LPIPS>): Lower is better; unit: SCALAR.

## Recorded results

| Method | PSNR | Result date | Report paper |
| --- | --- | --- | --- |
| Block Approximate Sparse Attention | 24.08 | Not recorded | 6a0d4054f984739ed6737b45 |
| Block Approximate Sparse Attention | 22.34 | Not recorded | 6a0d4054f984739ed6737b45 |
| SVG2 | 21.51 | Not recorded | 6a0d4054f984739ed6737b45 |

### Block Approximate Sparse Attention

PSNR: 24.08. Result ID: 6a0d7a04fbc373592c05b87d.

[Reporting paper](<https://www.sota2.com/research/paper/6a0d4054f984739ed6737b45.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0d4054f984739ed6737b45.md>)

Recorded evaluation configuration: {"Model":"Wan2.1","Warmup":"10-step full-attention","Sparsity":"50%"}. This record does not assert independent reproduction.

### Block Approximate Sparse Attention

PSNR: 22.34. Result ID: 6a0d7a04fbc373592c05b87c.

[Reporting paper](<https://www.sota2.com/research/paper/6a0d4054f984739ed6737b45.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0d4054f984739ed6737b45.md>)

Recorded evaluation configuration: {"Model":"Wan2.1","Warmup":"10-step full-attention","Sparsity":"60%"}. This record does not assert independent reproduction.

### SVG2

PSNR: 21.51. Result ID: 6a0d7a04fbc373592c05b87b.

[Reporting paper](<https://www.sota2.com/research/paper/6a0d4054f984739ed6737b45.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7be31e209131cea8b13e.md>)

Recorded evaluation configuration: {"Model":"Wan2.1","Warmup":"10-step full-attention"}. This record does not assert independent reproduction.

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