{"id":"W4389539276","doi":"10.1145/3610548.3618227","title":"Shadow Harmonization for Realistic Compositing","year":2023,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Adobe Systems","keywords":"Compositing; Computer science; Shadow (psychology); Computer vision; Artificial intelligence; Shadow mapping; Pipeline (software); Object (grammar); Inpainting; Computer graphics (images); Image (mathematics)","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":[0.0002792074,0.00005641512,0.00006293762,0.000166422,0.0001306842,0.000178829,0.0003347433,0.00002405374,0.000002744308],"category_scores_gemma":[0.00003238662,0.00005469753,0.000034744,0.00076596,0.00000798466,0.0001597556,0.0001365908,0.00002094153,0.000009887864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000115169,"about_ca_system_score_gemma":0.00002086181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002237899,"about_ca_topic_score_gemma":0.000003828939,"domain_scores_codex":[0.9994032,0.00001448853,0.000131096,0.0001906413,0.0001281628,0.0001323785],"domain_scores_gemma":[0.9994597,0.00009505843,0.0000379136,0.0001945648,0.0001795009,0.00003320416],"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":[3.765996e-7,0.000006227011,0.0002782299,0.000009384908,0.000002440778,4.657352e-7,0.00007601969,0.00003540631,0.0002524101,0.9819943,0.007514688,0.009830083],"study_design_scores_gemma":[0.00007724727,0.00003244043,0.001392379,0.000008828491,0.000001227769,0.00000121909,0.000003612385,0.9446559,0.002997064,0.04832327,0.002427209,0.00007959179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004690263,0.000003606181,0.9953514,0.0005106481,0.0001221465,0.0001646927,0.000001992456,0.001736689,0.001639835],"genre_scores_gemma":[0.8998093,0.00001425439,0.09928276,0.0004202019,0.00005951448,0.00004342902,0.00004041868,0.000009518724,0.0003206216],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9446205,"threshold_uncertainty_score":0.22305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355319390997474,"score_gpt":0.3270359515942804,"score_spread":0.2834827576843057,"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."}}