Clarify selected previews and sync checkpoint documentation
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README.md
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*MEDFE
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This repository is a new PyTorch implementation of **MEDFE**, which jointly recovers image structure and texture through a mutual encoder–decoder and feature equalization. It provides batched training, reproducible random masks, explicit configuration, resumable checkpoints, and offline inference.
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*Selected MEDFE examples. Each row shows masked input → completion → ground truth. [Checkpoint details](https://github.com/KumapowerLIU/Rethinking-Inpainting-MEDFE/blob/master/docs/checkpoint.md).*
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This repository is a new PyTorch implementation of **MEDFE**, which jointly recovers image structure and texture through a mutual encoder–decoder and feature equalization. It provides batched training, reproducible random masks, explicit configuration, resumable checkpoints, and offline inference.
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ca98198ef4cd9fad732d5709a0f3a5f9f9646743528dacde744bfb95ddb71e50 medfe-sd-partial-step120994.pt
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051131b5ef3596dad9bf0cffee19c248ff9751596a86b25c70f0cd82d6f6d713 LICENSE.md
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ce3c4669f6e8f9950d830cf787b398db1b693efa3e3c6141277ff7adf71e067d expected.png
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abbdb5d2f6e7e05833da9be8b914bd739f4f829b66b125e10edaec6382230de5 mask.png
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1684cf2363563e39db8bf63e94ee46524aa77595244a019e242d636b495997ee masked.png
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ca98198ef4cd9fad732d5709a0f3a5f9f9646743528dacde744bfb95ddb71e50 medfe-sd-partial-step120994.pt
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051131b5ef3596dad9bf0cffee19c248ff9751596a86b25c70f0cd82d6f6d713 LICENSE.md
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d10a219727658789dd195d488a7aa9a7fab5d7be3ac71da673ef8e1ec7f4b79c README.md
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ce3c4669f6e8f9950d830cf787b398db1b693efa3e3c6141277ff7adf71e067d expected.png
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abbdb5d2f6e7e05833da9be8b914bd739f4f829b66b125e10edaec6382230de5 mask.png
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1684cf2363563e39db8bf63e94ee46524aa77595244a019e242d636b495997ee masked.png
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