{"id":"W4415708102","doi":"10.1109/icme59968.2025.11209358","title":"Enhancing Object-Attribute Alignment in Diffusion Models via Training-Free Contrastive Parallel Denoising","year":2025,"lang":"","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Noise reduction; Image denoising; Pattern recognition (psychology); Noise (video); Code (set theory); Object (grammar)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001436996,0.0007406981,0.001083992,0.0004721353,0.000624101,0.0006492225,0.001626146,0.0003166959,0.0001179526],"category_scores_gemma":[0.0002587213,0.0007174917,0.0003102753,0.00143825,0.0002005685,0.001407453,0.00157554,0.0005180413,0.00002179254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005452334,"about_ca_system_score_gemma":0.0005815946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007646107,"about_ca_topic_score_gemma":0.001675578,"domain_scores_codex":[0.9941961,0.0006822197,0.001388311,0.001605835,0.0006666423,0.001460928],"domain_scores_gemma":[0.997216,0.0007234695,0.0003207665,0.001190458,0.0002735611,0.0002757468],"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":[0.000278497,0.0009385371,0.0004438741,0.0001030107,0.0005349559,0.0001777811,0.02123211,0.6687559,0.04878627,0.02887365,0.001904704,0.2279707],"study_design_scores_gemma":[0.002854534,0.0001756416,0.0009471423,0.000732596,0.00007803713,0.000005026898,0.001372001,0.9496018,0.02284834,0.02049565,0.0001846392,0.0007045396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005862806,0.001575,0.9812375,0.002909812,0.001737499,0.0009867899,0.00001224912,0.00009255343,0.005585771],"genre_scores_gemma":[0.9305052,0.000327504,0.0654737,0.001464683,0.0002018782,0.00005370943,0.00000515299,0.00002525565,0.001942922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9246424,"threshold_uncertainty_score":0.9995276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160311897150091,"score_gpt":0.2420931758425339,"score_spread":0.220490056871033,"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."}}