{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007375029,0.0001597337,0.0001230325,0.000251993,0.0001196244,0.00007110362,0.00006595396,0.00008738956,0.0002624],"category_scores_gemma":[0.000001023524,0.0001714293,0.00005957257,0.0002177,0.00003507188,0.0003354852,8.54431e-7,0.0001422712,0.00004065707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002784075,"about_ca_system_score_gemma":0.000004665204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002310474,"about_ca_topic_score_gemma":0.00004617185,"domain_scores_codex":[0.9992709,0.00006260179,0.0002385406,0.0001910414,0.0001197073,0.0001172391],"domain_scores_gemma":[0.99966,0.00003992871,0.00004004941,0.0001177533,0.00006648169,0.00007578277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000338999,0.001775735,0.000529709,0.0003629678,0.001033649,0.00002266412,0.09597701,0.007796314,0.002574722,0.6614393,0.003876056,0.2242729],"study_design_scores_gemma":[0.0003820866,0.0001620379,0.00257138,0.00006853012,0.00002550133,0.000003067471,0.0001633571,0.9900619,0.004736793,0.001080976,0.0005338331,0.0002104828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07808539,0.00001329462,0.9204012,0.000004856986,0.0004959162,0.0001195349,0.00001726094,0.000441445,0.0004211402],"genre_scores_gemma":[0.9988917,0.00009805716,0.0005656399,0.0002984978,0.00005333133,0.00001493379,0.00002463497,0.00002847811,0.00002473659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822657,"threshold_uncertainty_score":0.6990683,"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."}}