5 papers
Causal-AgentIR: Self-Evolving Causal Memory for Adaptive Image Restoration Agents
Hu Gao, Yulong Chen, Lizhuang Ma
Image restoration agents have recently emerged as a flexible paradigm for handling diverse and unpredictable degradations in real-world scenarios. Existing agents typically formula…
PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution
Lihua Wei, Huatong Gao, Jia Gong +4
Magnetic resonance imaging (MRI) super-resolution is vital for improving diagnostic accessibility, yet most methods treat it as a deterministic mapping from a fixed low-resolution…
Learning Adaptive Dynamical Features via Multi- Liquid-Mamba for All-in-one Image Restoration
Hu Gao, Changshuo Wang, Yulong Chen +1
Image restoration aims to recover high-quality images from degraded observations. Recent Mamba-based image restoration models have demonstrated strong potential in modeling long-ra…
Establishing Stochastic Object Models from Noisy Data via Ambient Measurement-Integrated Diffusion
Xiaoning Lei, Jianwei Sun, Wenhao Cai +3
Task-based measures of image quality (IQ) are critical for evaluating medical imaging systems, which must account for randomness including anatomical variability. Stochastic object…
From Physical Degradation Models to Task-Aware All-in-One Image Restoration
Hu Gao, Xiaoning Lei, Xichen Xu +2
All-in-one image restoration aims to adaptively handle multiple restoration tasks with a single trained model. Although existing methods achieve promising results by introducing pr…