{"id":"W4396604587","doi":"10.1109/iccv51701.2025.01613","title":"Streamlining Image Editing with Layered Diffusion Brushes","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Image editing; Image (mathematics); Diffusion; Computer science; Computer graphics (images); Computer vision; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007294856,0.0007451185,0.0004976241,0.0005044273,0.000343701,0.001416764,0.001344237,0.0007621188,0.005583175],"category_scores_gemma":[0.003246081,0.0004880695,0.0006143686,0.0003124722,0.000572135,0.001409779,0.001602316,0.001211721,0.001243362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003860814,"about_ca_system_score_gemma":0.0004523881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148634,"about_ca_topic_score_gemma":0.002254019,"domain_scores_codex":[0.9997026,0.0000467086,0.00001974133,0.00007680893,0.0001227237,0.0000312494],"domain_scores_gemma":[0.9987828,0.0006615494,0.00008116817,0.0002463195,0.0001302516,0.00009787753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003209031,0.0001462851,0.001339877,0.0007451422,0.0001059145,0.0004649681,0.0009896174,0.1117804,0.4508382,0.02603269,0.007502269,0.3997338],"study_design_scores_gemma":[0.00003956629,0.00009669075,0.0003676344,0.00004331414,0.00002316514,0.0003024027,0.00008366236,0.8505852,0.1192152,0.01041176,0.01877816,0.00005328137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02698615,0.0003230679,0.9643568,0.0001391841,0.00008908333,0.00007306324,0.0001060505,0.005267863,0.002658773],"genre_scores_gemma":[0.2707557,0.0004327734,0.7201955,0.0001654109,0.00003620113,0.0001240881,0.0001866079,0.00160948,0.006494115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005583175,"threshold_uncertainty_score":0.01867753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275480978649239,"score_gpt":0.2547100203164266,"score_spread":0.2419552105299343,"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."}}