{"id":"W3190525204","doi":"10.1111/cgf.14427","title":"Dynamic Diffuse Global Illumination Resampling","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Global illumination; Specular reflection; Scattering; Resampling; Computer science; Path tracing; Ray tracing (physics); Sampling (signal processing); Variance (accounting); Path (computing); Importance sampling; Sample (material); Computer vision; Artificial intelligence; Algorithm; Optics; Mathematics; Physics; Monte Carlo method; Statistics; Rendering (computer graphics)","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":[0.0003347557,0.0006261005,0.0004557866,0.0004119488,0.0002308452,0.0007954073,0.000522349,0.0003320815,0.004264726],"category_scores_gemma":[0.001082514,0.0001821909,0.0004393493,0.0004143771,0.0004050215,0.0005242429,0.001030036,0.0008502849,0.001036134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056976,"about_ca_system_score_gemma":0.0003291097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783442,"about_ca_topic_score_gemma":0.003385451,"domain_scores_codex":[0.9997483,0.00004023603,0.000006664533,0.00006179426,0.0001097455,0.00003326418],"domain_scores_gemma":[0.9997033,0.00007264815,0.00001657158,0.0001199383,0.00006807255,0.00001937304],"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":[0.0005917622,0.0001783524,0.001723104,0.0002496403,0.0001015253,0.0002773428,0.0004015459,0.2235059,0.2749503,0.02392252,0.01566128,0.4584367],"study_design_scores_gemma":[0.00004327979,0.00008051627,0.001263625,0.00002019563,0.0000222198,0.0002021181,0.00008691118,0.8832988,0.08675246,0.01038662,0.01780561,0.00003773794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05357429,0.0002677389,0.93385,0.0001757433,0.0001146945,0.00007315821,0.0003200556,0.005061414,0.006562843],"genre_scores_gemma":[0.5546455,0.0003062945,0.4343026,0.0002266117,0.00007701473,0.0001018952,0.001104087,0.001551854,0.007684079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004264726,"threshold_uncertainty_score":0.01426691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954091065229879,"score_gpt":0.299100547632575,"score_spread":0.2795596369802762,"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."}}