{"id":"W4386071615","doi":"10.1109/cvpr52729.2023.01598","title":"Computational Flash Photography through Intrinsics","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Flash (photography); Intrinsics; Computer science; Computational photography; Photography; Computer graphics (images); Computer vision; Artificial intelligence; Image processing; Optics; Image (mathematics); Visual arts","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":[0.0004680188,0.0005206361,0.0004476955,0.0002948609,0.0002842728,0.0008843986,0.0007999177,0.0007691174,0.004700225],"category_scores_gemma":[0.00164119,0.0003510567,0.0005379677,0.0001727369,0.001089148,0.001429524,0.001516843,0.001183527,0.0003140395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006137023,"about_ca_system_score_gemma":0.0005466489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280427,"about_ca_topic_score_gemma":0.001414204,"domain_scores_codex":[0.9998586,0.0000402683,0.000006158113,0.00003303519,0.00004306456,0.00001881949],"domain_scores_gemma":[0.9995035,0.0002744887,0.00005841855,0.00007347082,0.00005276464,0.00003743115],"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":[0.00004483306,0.00003474505,0.0004368128,0.0001180132,0.00002228904,0.00008070705,0.00007805896,0.8454254,0.005971847,0.1312969,0.001249612,0.01524075],"study_design_scores_gemma":[0.000004159651,0.00001122814,0.00006022447,0.000006274965,0.000002279953,0.000009323378,0.000007919593,0.9869221,0.0004530857,0.01195516,0.0005650311,0.000003169972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04437635,0.000300275,0.9457481,0.0002983391,0.00006025498,0.00004615444,0.00009804228,0.0001824622,0.008889981],"genre_scores_gemma":[0.8051884,0.0005535638,0.1807988,0.0001732089,0.00008772452,0.0001736742,0.0002334413,0.0003131544,0.012478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004700225,"threshold_uncertainty_score":0.01572376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851658604242543,"score_gpt":0.2766200847689285,"score_spread":0.2581034987265031,"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."}}