Author

Xin-Bo Gao

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Sep 2026

Unsupervised motion artifact purification guided by joint prior from pixel and k-space domains.

Magnetic resonance imaging (MRI) plays an important role in clinical diagnosis, nevertheless, it suffers from motion artifacts in many real-world scenarios. Removing motion artifacts can alleviate this interference and thus facilitate precise diagnosis. However, recent works mainly rely on paired data and the artifactu...

Jia-Hua Xu, Dawei Zhou, Lei Hu et al. · Neural Networks · 0 citations

Jul 2026

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution

Diffusion-based methods have achieved impressive performance in real-world image super-resolution (Real-ISR) by leveraging large pre-trained stable diffusion (SD) models as powerful generative priors. However, these methods still face two key limitations. First, existing SD-based one-step and multi-step Real-ISR approa...

Xue Wu, Kang Zhao, Kafeng Wang et al. · arXiv.org · 0 citations

Preprint Sep 2026

PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization

PAPT++ is introduced, a risk-aware adversarial generation-training framework for SDG that progressively exposes the classifier to challenging yet semantically consistent variations.

Zhi-Peng Xu, De Cheng, Xinyang Jiang et al. · 0 citations