{"id":"W6891676712","doi":"10.48448/ezk5-0131","title":"PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"","keywords":"Pixel; Image editing; Consistency (knowledge bases); Object (grammar); Noise (video); Benchmark (surveying); Range (aeronautics); Inference","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":[0.0011504,0.001278235,0.001003336,0.0006998072,0.0004407094,0.001357319,0.003134679,0.001589552,0.003194245],"category_scores_gemma":[0.003425486,0.0006808444,0.001112449,0.0005343543,0.0009139007,0.001703631,0.00162656,0.002034794,0.001486389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267846,"about_ca_system_score_gemma":0.001001233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004378026,"about_ca_topic_score_gemma":0.006933117,"domain_scores_codex":[0.9993723,0.0001123949,0.00002797877,0.0002191473,0.0002233631,0.00004474808],"domain_scores_gemma":[0.9988703,0.0004624619,0.0001233154,0.0003501925,0.0001373537,0.0000562089],"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":[0.0002791582,0.00013267,0.0009686992,0.0003439394,0.000172576,0.0002257028,0.0002404143,0.3623949,0.04088576,0.01885558,0.01000447,0.5654961],"study_design_scores_gemma":[0.00002283548,0.00003736238,0.0001016562,0.00001301086,0.00001445665,0.0001094375,0.00001269385,0.9782427,0.01101583,0.006678708,0.003735055,0.00001626856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004205771,0.000332446,0.9910445,0.00009770046,0.00005879891,0.00004319007,0.00006708376,0.002980948,0.001169634],"genre_scores_gemma":[0.1420448,0.0004174115,0.848867,0.0003611238,0.00008553467,0.0001311831,0.000599999,0.00123397,0.006259098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004378026,"threshold_uncertainty_score":0.0106858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522581002429624,"score_gpt":0.2693109977536093,"score_spread":0.2340851877293131,"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."}}