{"id":"W2170080555","doi":"10.1109/tvcg.2011.51","title":"AniPaint: Interactive Painterly Animation from Video","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; University of Saskatchewan","keywords":"Computer science; Animation; Computer graphics (images); Skeletal animation; Computer animation; Visualization; Non-photorealistic rendering; Graphical user interface; Artificial intelligence; Human–computer interaction; Computer vision; Computer facial animation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004475987,0.0008563788,0.0003854289,0.0007474569,0.0004122714,0.0007405702,0.001130275,0.0005180859,0.02311078],"category_scores_gemma":[0.001389166,0.0003481454,0.0005306178,0.0002290573,0.0002999676,0.0008038055,0.001560536,0.0006536124,0.002086309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808582,"about_ca_system_score_gemma":0.0002830221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006355083,"about_ca_topic_score_gemma":0.001049689,"domain_scores_codex":[0.999757,0.00004688309,0.00001223237,0.00003681943,0.0001193623,0.00002761011],"domain_scores_gemma":[0.9996452,0.0002022299,0.00001692365,0.00004211993,0.00004728875,0.0000462253],"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":[0.001099682,0.0003235758,0.001108729,0.0009558522,0.0001078223,0.00122775,0.001187847,0.01801779,0.3148276,0.01449492,0.05832709,0.5883214],"study_design_scores_gemma":[0.0005852635,0.0008008867,0.004450625,0.0003242915,0.0001304821,0.002793089,0.0003055186,0.3961527,0.2510297,0.01164458,0.3314978,0.0002850213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02484313,0.0002909474,0.9180694,0.0001778746,0.0002292978,0.0003300419,0.0009111294,0.03465493,0.02049325],"genre_scores_gemma":[0.1807375,0.0007579189,0.7838861,0.0002617375,0.0001464972,0.0008619748,0.002476932,0.006501107,0.02437028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02311078,"threshold_uncertainty_score":0.07731324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355604738247659,"score_gpt":0.2350147888904833,"score_spread":0.2114587415080067,"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."}}