Card: drop the protocol-name remarks
Browse files
README.md
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@@ -138,7 +138,7 @@ depth = s.depth(0, [16], size=(848, 480)) # metres (No
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## Benchmark
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**Multi-view video generation**
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every view. The generated views are scored on three axes:
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- **appearance:** PSNR, SSIM, LPIPS and FVD;
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@@ -179,9 +179,8 @@ VPM (V+T) also on 3D point trajectories. X-WAM is evaluated on the robot subsets
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| | VPM (V) | ✓ | 62.85 | 20.96 | 0.010 | 26.54 |
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| | **VPM (V+T)** | ✓ | **56.48** | **22.10** | **0.007** | **33.92** |
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The toolkit
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Cross-view MEt3R floors; see the [toolkit README](https://github.com/vpm-project/VPM/tree/main/vp-worldbench).
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**Further tasks on the same data**, each with input export, baselines and an evaluator in the toolkit:
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## Benchmark
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**Multi-view video generation.** Given frame 16 of every view, generate the next 64 frames of
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every view. The generated views are scored on three axes:
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- **appearance:** PSNR, SSIM, LPIPS and FVD;
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| | VPM (V) | ✓ | 62.85 | 20.96 | 0.010 | 26.54 |
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| | **VPM (V+T)** | ✓ | **56.48** | **22.10** | **0.007** | **33.92** |
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The toolkit also reports SSIM, LPIPS, δ mov., AJ, OA, survival, ADE, standard errors and the Cross-view MEt3R floors;
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see the [toolkit README](https://github.com/vpm-project/VPM/tree/main/vp-worldbench).
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**Further tasks on the same data**, each with input export, baselines and an evaluator in the toolkit:
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