{"id":"W4410719696","doi":"10.1007/978-3-031-91838-4_5","title":"Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute","funders":"","keywords":"Computer science; Image restoration; Diffusion; Computer vision; Image (mathematics); Artificial intelligence; Image processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424207,0.0006781818,0.0006804415,0.000369851,0.000228371,0.0007294961,0.000609804,0.001187733,0.002196622],"category_scores_gemma":[0.00163194,0.0003756192,0.0006063383,0.0003746497,0.0005560939,0.0009790331,0.00083682,0.001422946,0.0009283429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917255,"about_ca_system_score_gemma":0.0005593557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847944,"about_ca_topic_score_gemma":0.002585218,"domain_scores_codex":[0.9998254,0.00004167884,0.000007706332,0.00003563273,0.0000714917,0.00001799511],"domain_scores_gemma":[0.9996262,0.00019848,0.00003765315,0.00004476035,0.00007837023,0.00001446182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002852201,0.0001082542,0.0002422315,0.0003883486,0.00007600252,0.0001150774,0.0001666624,0.3901857,0.1099763,0.1097496,0.008453956,0.3802526],"study_design_scores_gemma":[0.000006663056,0.00002983303,0.0000524259,0.00001398374,0.00001100065,0.00007871576,0.000007609551,0.9740404,0.009301903,0.01333641,0.003107195,0.00001387021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002383295,0.0002645508,0.9957568,0.00009908666,0.00003464881,0.000007250631,0.00001808572,0.0001960839,0.001240229],"genre_scores_gemma":[0.2132945,0.001814506,0.763744,0.0002019291,0.0001417138,0.00006743108,0.000172753,0.0003743684,0.02018891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002196622,"threshold_uncertainty_score":0.007348418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874197987752087,"score_gpt":0.2925556752000253,"score_spread":0.2638136953225045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}