{"id":"W4413156548","doi":"10.1109/cvpr52734.2025.02676","title":"Controllable Human Image Generation with Personalized Multi-Garments","year":2025,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Computer vision; Clothing; Artificial intelligence; Computer graphics (images); Image (mathematics)","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":[0.000685204,0.0007343843,0.0006173742,0.000522235,0.0002129529,0.0006526855,0.001513042,0.0008873985,0.002877942],"category_scores_gemma":[0.002083433,0.0003949563,0.0008448859,0.0003421445,0.0005051488,0.0008647277,0.0009628834,0.0008073797,0.0009626569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777331,"about_ca_system_score_gemma":0.0003764516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586942,"about_ca_topic_score_gemma":0.003945862,"domain_scores_codex":[0.9996513,0.00006357308,0.00001341124,0.0001406495,0.0001006161,0.00003039726],"domain_scores_gemma":[0.9993775,0.0002662953,0.00005315337,0.0001840225,0.0000767986,0.0000421592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006585062,0.0003666574,0.001787716,0.0003626366,0.0001302172,0.0003884594,0.000246898,0.560094,0.08133371,0.01038635,0.009174526,0.3350703],"study_design_scores_gemma":[0.00001931188,0.00006667997,0.0003040004,0.000006736713,0.000007606074,0.0001031295,0.00001255715,0.9826491,0.01200788,0.002341401,0.002467783,0.00001373064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02156374,0.0003679075,0.9718996,0.0001334,0.00006226358,0.0001121339,0.0003205346,0.003839136,0.001701204],"genre_scores_gemma":[0.4810305,0.0004331877,0.5088105,0.000277455,0.00007651711,0.0002609213,0.001741985,0.0008935383,0.006475391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002877942,"threshold_uncertainty_score":0.0096277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397638276602387,"score_gpt":0.2484321453810859,"score_spread":0.2344557626150621,"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."}}