{"id":"W4390872836","doi":"10.1109/iccv51070.2023.02080","title":"AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Style (visual arts); Computer science; Focus (optics); Metric (unit); Artificial intelligence; Image (mathematics); Perception; Pattern recognition (psychology); Psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002522924,0.0001890565,0.0001900431,0.00009795382,0.0001753639,0.0002127908,0.0006985682,0.00007905285,0.0002232895],"category_scores_gemma":[0.000005044581,0.0001558666,0.0001205955,0.0007423281,0.00004009485,0.0003601999,0.0001525768,0.0001310573,0.0005187101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751617,"about_ca_system_score_gemma":0.00002492106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006688538,"about_ca_topic_score_gemma":0.00006160003,"domain_scores_codex":[0.9985026,0.0001102572,0.0002073424,0.000458826,0.000230546,0.0004904742],"domain_scores_gemma":[0.9991902,0.00006330849,0.00001925037,0.0005409923,0.00005750769,0.0001287925],"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":[0.000006036068,0.00006991039,0.0006089027,0.000009224043,0.00003756769,0.0001086364,0.0007392475,0.1230454,0.0002475689,0.00398752,0.0583901,0.8127499],"study_design_scores_gemma":[0.0002437302,0.00006475235,0.001362198,0.00001333526,0.000006177898,0.000009006204,0.00004699702,0.9848627,0.0005426032,0.0002361118,0.01235318,0.0002592029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002425469,0.00005868872,0.9912918,0.002935587,0.0005440424,0.000152947,0.000001963519,0.0005156401,0.002073832],"genre_scores_gemma":[0.9947866,0.0000773267,0.001657004,0.001082264,0.0001769245,0.00002213592,0.000007471592,0.00001999017,0.002170323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9923611,"threshold_uncertainty_score":0.6667142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372933288972015,"score_gpt":0.2175545032269535,"score_spread":0.2038251703372334,"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."}}