{"id":"W4394597809","doi":"10.1109/wacv57701.2024.00626","title":"EmoStyle: One-Shot Facial Expression Editing Using Continuous Emotion Parameters","year":2024,"lang":"en","type":"article","venue":"","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Facial expression; Computer science; Shot (pellet); Expression (computer science); Image editing; Artificial intelligence; Speech recognition; Computer vision; Computer graphics (images); Human–computer interaction; Chemistry; Image (mathematics); Programming language","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":[0.0005080066,0.0008535217,0.0003393361,0.0003646843,0.0001716467,0.0004886183,0.0007370461,0.0005099455,0.009470054],"category_scores_gemma":[0.001862591,0.0002465239,0.0005282059,0.000122571,0.0002553896,0.0005496725,0.0008893937,0.0005382595,0.002517399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719277,"about_ca_system_score_gemma":0.0001296583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959597,"about_ca_topic_score_gemma":0.001152763,"domain_scores_codex":[0.9997126,0.00006123102,0.00001562876,0.00009360795,0.00009117986,0.00002571044],"domain_scores_gemma":[0.9996901,0.0001430151,0.00001566801,0.00007235306,0.00005842194,0.00002056381],"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":[0.0006355855,0.0001853023,0.001068315,0.0003812323,0.0001118083,0.0005883673,0.0005816346,0.01539662,0.3303699,0.004647066,0.03048359,0.6155506],"study_design_scores_gemma":[0.0001502888,0.0006515579,0.005749515,0.00009375694,0.00009745739,0.001879975,0.0002153528,0.5658883,0.3372265,0.009822065,0.07805402,0.0001712765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02553626,0.0001898944,0.9435339,0.0001199856,0.0002275527,0.0002822419,0.0006835965,0.02157046,0.007856065],"genre_scores_gemma":[0.2790527,0.0003437644,0.6913899,0.0003974721,0.0001196706,0.0006154643,0.002815821,0.004285202,0.02097998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009470054,"threshold_uncertainty_score":0.03168046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292543210047691,"score_gpt":0.3829171450225395,"score_spread":0.2536628240177704,"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."}}