Direct Diffusion Bridge using Data Consistency for Inverse Problems

Neural Information Processing Systems 

Then, we highlight a critical limitation of the current DDB framework, namely that it does not ensure data consistency. To address this problem, we propose a modified inference procedure that imposes data consistency without the need for fine-tuning.

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