3 papers
cs.CV2025
Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration
Ji Li, Chao Wang
Existing plug-and-play image restoration methods typically employ off-the-shelf Gaussian denoisers as proximal operators within classical optimization frameworks based on variable…
cs.CV2025
Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model
Ji Li, Chao Wang
Regularized optimization has been a classical approach to solving imaging inverse problems, where the regularization term enforces desirable properties of the unknown image. Recent…
math.OC2025
Efficient Diffusion Posterior Sampling for Noisy Inverse Problems
Ji Li, Chao Wang
The pretrained diffusion model as a strong prior has been leveraged to address inverse problems in a zero-shot manner without task-specific retraining. Different from the unconditi…