TL;DR of the paper, generated automatically.

Research paper on making flow-matching image restoration more stable.

• Method: LipsFlower, with a Lipschitz-aware architecture and sensitivity regularization.
• Result: cuts how much small input changes get amplified, while keeping restoration quality competitive.
• Tested on: blind face restoration, with adversarial robustness and perceptual quality measured.