GitHub

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...
IEEE

Learning SAR-to-Optical Image Translation via Diffusion Models With Color Memory

Abstract: Synthetic aperture radar (SAR) and optical sensing are two important means of Earth observation. SAR-to-optical image translation (S2OIT) can integrate the advantages of both and assist SAR ...
GitHub

Datasets-for-Information-Diffusion-Tasks

We survey a systematic taxonomy of information diffusion tasks and datasets based on the "5W Model" framework. We categorize the information diffusion tasks into ten subtasks with definitions, ...
IEEE

An absorber modeling method for optimal control of absorption refrigeration system operation

Abstract: This article proposes a modeling method for the SPSO-WNN neural network in absorbers used in absorption refrigeration systems. The method establishes the input-output structure of the ...