{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000488267,0.0008609339,0.0004127165,0.0003719814,0.000216499,0.0004803442,0.001230645,0.0006925124,0.004043149],"category_scores_gemma":[0.001238579,0.0003198205,0.0005404292,0.0002736058,0.0005649113,0.0007236007,0.0009954362,0.001139764,0.0009022309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939821,"about_ca_system_score_gemma":0.0003107592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105221,"about_ca_topic_score_gemma":0.001883002,"domain_scores_codex":[0.9998108,0.00003924372,0.000005653028,0.00006439767,0.00005334174,0.00002661803],"domain_scores_gemma":[0.9997523,0.00008611895,0.00003034561,0.00006034578,0.0000485337,0.00002225857],"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":[0.0002160675,0.0001702295,0.001341065,0.0001384049,0.0001113934,0.0001705939,0.00008905106,0.5638299,0.04105417,0.01523972,0.01015539,0.3674841],"study_design_scores_gemma":[0.000007969348,0.00004485241,0.0002565079,0.00000682778,0.00001044631,0.00004649617,0.000005668927,0.9868299,0.005283324,0.005776166,0.001725778,0.000006100064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04894302,0.000426117,0.9346135,0.0003433619,0.0001938652,0.0001393027,0.000290175,0.002591733,0.01245895],"genre_scores_gemma":[0.805554,0.0003408632,0.1706145,0.0005241427,0.0000983202,0.0002765282,0.0006139867,0.0003306857,0.02164689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004043149,"threshold_uncertainty_score":0.01352572,"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."}}