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README.md
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@@ -27,6 +27,21 @@ Ultra-high definition benchmark for zero-shot image reconstruction evaluation.
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- **Dataset Repository:** [https://github.com/MKJia/UHDBench](https://github.com/MKJia/UHDBench)
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- **Dataset Repository:** [https://github.com/MKJia/UHDBench](https://github.com/MKJia/UHDBench)
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## Dataset Leaderboard
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**Call for Submissions!**
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We're continuously expanding our public benchmark leaderboard and welcome contributions from the community.
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Feel free to suggest other VQVAEs or VAEs. We're happy to assist with the evaluation. We also invite you to share your reconstruction results to be included in our leaderboard.
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| Method | Type | Ratio | rFID↓ | PSNR↑ |
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|--------|:-----:|:-----:|:-----:|:-----:|
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| SD-VAE | Continuous | 16 | **1.07** | <ins>26.86</ins> |
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| VQGAN | Discrete | 16 | 5.95 | 22.91 |
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| LlamaGen | Discrete | 16 | 5.59 | 23.90 |
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| OpenMagvit2 | Discrete | 16 | 4.18 | 23.91 |
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| VAR | Discrete | 16 | 9.85 | 21.79 |
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| MGVQ-f16c32-g4 | Discrete | 16 | <ins>1.59</ins> | **28.27** |
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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