Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model

Published as a conference paper at ICLR 2025 cesses, enhancing the accuracy of identity preservation and attribute correction. Including negative quality samples and attribute prompts in the training further refines the model's ability to generate detailed and perceptually accurate images.