{"id":"W4413145371","doi":"10.1109/cvpr52734.2025.01736","title":"Visual Persona: Foundation Model for Full-Body Human Customization","year":2025,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Creative Content Agency; National Research Foundation of Korea","keywords":"Personalization; Persona; Computer science; Foundation (evidence); Human–computer interaction; World Wide Web","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":[0.0005565953,0.001023466,0.0005633477,0.0005618604,0.0003084542,0.0009084594,0.001832147,0.0009352739,0.007216365],"category_scores_gemma":[0.002369804,0.0005989784,0.00119027,0.0003628913,0.0007611513,0.001537083,0.001786432,0.00155268,0.003616248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006558904,"about_ca_system_score_gemma":0.0006457896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040851,"about_ca_topic_score_gemma":0.00898717,"domain_scores_codex":[0.9995254,0.00007365048,0.00001730579,0.0002212843,0.0001147912,0.00004768575],"domain_scores_gemma":[0.9995424,0.0001265807,0.00004058128,0.0001822858,0.00007019284,0.00003799124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005885185,0.0003392887,0.003106275,0.0004716403,0.0002355421,0.0004771302,0.0005068575,0.3715981,0.07447311,0.04403516,0.03781228,0.4663561],"study_design_scores_gemma":[0.00002113063,0.00008119651,0.0005929766,0.00002231444,0.00002007117,0.00028196,0.00002863646,0.9635569,0.01144183,0.01320597,0.01072068,0.00002637885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01058942,0.0002763962,0.9762956,0.0001815044,0.00007744993,0.0001098839,0.0009402225,0.007882792,0.00364669],"genre_scores_gemma":[0.4432378,0.0007883444,0.5279348,0.0006663154,0.00009706234,0.0006634538,0.005034515,0.002720696,0.01885699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007216365,"threshold_uncertainty_score":0.02414113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523896618367045,"score_gpt":0.3323638401379514,"score_spread":0.307124873954281,"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."}}