{"id":"W2902972464","doi":"10.1145/3272127.3275018","title":"Simultaneous acquisition of polarimetric SVBRDF and normals","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Microsoft Research Asia; Samsung; National Research Foundation of Korea","keywords":"Specular reflection; Bidirectional reflectance distribution function; Polarimetry; Computer science; Specular highlight; Rendering (computer graphics); Computer vision; Artificial intelligence; Projector; Optics; Diffuse reflection; Inverse; Polarizer; Scattering; Mathematics; Physics; Reflectivity; Geometry","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":[0.0006453939,0.001349104,0.001067689,0.001796003,0.0002980733,0.001985735,0.0008167771,0.0008751061,0.003121934],"category_scores_gemma":[0.003025662,0.0007594335,0.001173804,0.001291214,0.0006689991,0.002269592,0.001684214,0.002492425,0.002206957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329583,"about_ca_system_score_gemma":0.0009780737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157126,"about_ca_topic_score_gemma":0.003312024,"domain_scores_codex":[0.999245,0.00009273587,0.00002592599,0.0001542058,0.000407331,0.00007467985],"domain_scores_gemma":[0.9989482,0.0001884786,0.00008273272,0.000301868,0.0004067062,0.00007205033],"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":[0.0002240591,0.0002243685,0.003320852,0.0003996178,0.00009212165,0.0003074461,0.0004533989,0.1481035,0.3889834,0.02346436,0.008842087,0.4255848],"study_design_scores_gemma":[0.00002990132,0.00005978715,0.003484423,0.00004465326,0.00003295261,0.0007841275,0.0001576699,0.8639454,0.0884964,0.02649279,0.01633387,0.0001380995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01958925,0.0001051946,0.9755761,0.0001415495,0.00007462273,0.00004656901,0.0005022649,0.001783043,0.002181349],"genre_scores_gemma":[0.3124996,0.0008176769,0.6792788,0.0001662004,0.0001255671,0.0001315433,0.00252698,0.001652317,0.002801282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003121934,"threshold_uncertainty_score":0.01044393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689545267823673,"score_gpt":0.2829248937399677,"score_spread":0.266029441061731,"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."}}