{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008048083,0.001327761,0.000847657,0.0008049165,0.0005991003,0.001435996,0.001466195,0.0007779559,0.006362494],"category_scores_gemma":[0.002441397,0.0007187729,0.001375911,0.0005130229,0.001018945,0.001173835,0.001908738,0.001733252,0.001946711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004284,"about_ca_system_score_gemma":0.0008168723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506786,"about_ca_topic_score_gemma":0.007586803,"domain_scores_codex":[0.9993807,0.0001066504,0.00002103347,0.0001688403,0.000238641,0.0000840076],"domain_scores_gemma":[0.9992872,0.0002376596,0.0000571009,0.000265385,0.00009083837,0.00006188806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002187785,0.0001115076,0.001816745,0.0001681222,0.00009076399,0.0002750528,0.000263169,0.7768568,0.04002276,0.01735359,0.006473293,0.1563493],"study_design_scores_gemma":[0.000007944458,0.00001252772,0.0001525796,0.000005647467,0.00000606667,0.00007195118,0.00001454148,0.985175,0.007054011,0.004980427,0.002511643,0.000007703279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372091,0.00009031544,0.9789869,0.00009967743,0.00004943128,0.00007383792,0.0001499852,0.003499384,0.003329471],"genre_scores_gemma":[0.4337115,0.000217911,0.5543869,0.0003227652,0.00009809272,0.0001730475,0.00113639,0.002676093,0.007277491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006362494,"threshold_uncertainty_score":0.0212847,"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."}}