Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance - Supplementary Material - Anonymous Author(s) Affiliation Address email

In this supplementary material, we provide additional discussions and results. B, we provide more results on various tasks, i.e., blind face restoration, old photo restoration, During the inference process, there involves hyperparameters belonging to three categories. Parameters for optional quality enhancement ( e.g., the range for multiple gradient steps to take place Table 1: Default hyperparameter settings in our experiments.T ask Sampling Partial Guidance Optional s As shown in Fig.1, when all the other inference settings are the same, we Input faces are corrupted by real-world degradations. Our method produces high-quality faces with faithful details. ( Zoom in for best view) 3 B.2 More Results on Old Photo Restoration This work focuses on restoring images corrupted by various forms of degradations. This could potentially lead to deceptive information, such as incorrect identity recognition.