Upload pretrained/SHA256.txt with huggingface_hub
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pretrained/SHA256.txt
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# Pretrained weights (download from https://huggingface.co/MMQDD/ReDNet)
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rednet_dirt.pth
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size: 100.37 MB exported `{'params': ...}` (raw checkpoint 105,238,869 bytes)
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params: 26,244,220 (26.24 M)
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sha256: afe80f9b69cce9c557615bf8eab0452b2e37f72f880441c413e3a84541bd7d9f
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note: main released model -- checkpoint 276000 of the released training
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run. Reproduces the synthetic benchmark (Tab. III) at
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30.09 dB / 0.9672 / 0.0177 and generated the qualitative figures of
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the paper (verified pixel-identical on the no-reference benchmark).
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rednet_dirt_real.pth
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size: 100.37 MB exported `{'params': ...}` (raw checkpoint 105,238,869 bytes)
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params: 26,244,220 (26.24 M)
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sha256: 693750636cf9bbf29b67e6047d841ef6a0dec610dfc9594002c35dd5667b0c24
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note: real-world benchmark checkpoint -- checkpoint 164000 of the same
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training run. Reproduces the real-world paired benchmark (Tab. IV)
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at 23.18 dB / 0.8592 / 0.2477 (paper: 23.18 / 0.8583 / 0.2951).
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restormer_dirt.pth
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size: 99.84 MB exported
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params: 26,126,600 (26.13 M)
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sha256: a30bb8fa94e90ff4944e2ac4569a5b40c1094e195b22e3017756c0c5ea0b8ede
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note: Restormer baseline trained on the same dirt data (paper Tab. III
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"Restormer" row / Tab. V "Refinement Only" ablation;
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checkpoint 124000).
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lpips_vgg.pth
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size: 7,289 bytes
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md5: d507d7349b931f0638a25a48a722f98a
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note: LPIPS linear-calibration weights (taming-transformers `vgg.pth`)
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used by the training loss; the VGG16 backbone is downloaded by
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torchvision automatically.
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