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+ ---
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+ license: mit
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+ tags:
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+ - video-deblurring
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+ - diffusion
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+ - replica
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+ ---
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+
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+ # VD-Diff trained on Replica
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+
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+ Checkpoints from [VD-Diff](https://github.com/Chen-Rao/VD-Diff) (Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model, ECCV 2024) trained on the Replica scenes.
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+
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+ Code that produced these checkpoints: <https://github.com/1zsw123/pretraineddatasetcode>
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+
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+ ## Files
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+
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+ | File | Stage | Step | Size |
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+ |---|---|---|---|
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+ | `S1/net_g_200000.pth` | Stage 1 (KPN pre-train) | 200k | 38 MB |
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+ | `S3/net_g_175000.pth` | Stage 3 (diffusion fine-tune) | 175k | 48 MB |
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+
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+ ## How to use
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+ s1 = hf_hub_download("zhaoshiwen/VD-Diff-Replica", "S1/net_g_200000.pth")
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+ s3 = hf_hub_download("zhaoshiwen/VD-Diff-Replica", "S3/net_g_175000.pth")
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+ ```
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+
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+ Then point `pretrain_network_S1` / `pretrain_network_S2` in the VD-Diff training YAML at these paths. See the upstream README for the training pipeline.