The article introduces Decorruptor, a novel test-time adaptation method that leverages diffusion models for efficient editing of corrupted images. By fine-tuning the model with a corruption modeling scheme, Decorruptor-DPM enhances robustness against distribution shifts. Additionally, Decorruptor-CM accelerates the model through consistency distillation, achieving faster inference times. Extensive experiments demonstrate superior performance and generalization capabilities across various architectures and datasets.
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by Yeongtak Oh,... о arxiv.org 03-19-2024
https://arxiv.org/pdf/2403.10911.pdfГлибші Запити