{"id":"W4405865448","doi":"10.1016/j.patcog.2024.111312","title":"Visual style prompt learning using diffusion models for blind face restoration","year":2024,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Face recognition and analysis","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Face (sociological concept); Style (visual arts); Computer science; Artificial intelligence; Computer vision; Diffusion; Visual arts; Art","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":[0.0007206962,0.0006207536,0.0007575499,0.0005331564,0.0002704204,0.0006054741,0.0007157964,0.0007499573,0.001999959],"category_scores_gemma":[0.002131258,0.0003366566,0.0007713164,0.0003929469,0.00043094,0.0009529755,0.0008425677,0.001493365,0.0005861723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698976,"about_ca_system_score_gemma":0.0006495713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004358048,"about_ca_topic_score_gemma":0.005220004,"domain_scores_codex":[0.9997676,0.00004917628,0.00001116333,0.00007525597,0.0000580607,0.00003876114],"domain_scores_gemma":[0.9993601,0.0002375478,0.00006487479,0.0001092153,0.0001739807,0.00005422669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004388795,0.0002878,0.001574983,0.0001211946,0.0001089344,0.0000633777,0.0001214842,0.271209,0.05376128,0.008000434,0.003524494,0.6607879],"study_design_scores_gemma":[0.000006853978,0.00003627376,0.0001711034,0.000003740101,0.000008814204,0.00001934195,0.000005512885,0.9931466,0.004242536,0.001981336,0.0003710461,0.000006771995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03342907,0.0003037594,0.9640597,0.0001551048,0.00008357032,0.00002871398,0.00004703032,0.000807301,0.00108579],"genre_scores_gemma":[0.7094861,0.0004783012,0.2809007,0.0001822416,0.00008045649,0.00005319974,0.000219595,0.0002578284,0.008341646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004358048,"threshold_uncertainty_score":0.008665383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07670839348405505,"score_gpt":0.3195823727647708,"score_spread":0.2428739792807157,"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."}}