{"id":"W4413147423","doi":"10.1109/cvpr52734.2025.02479","title":"GenVDM: Generating Vector Displacement Maps From a Single Image","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Google","keywords":"Computer science; Displacement (psychology); Computer vision; Image (mathematics); Artificial intelligence; Vector (molecular biology)","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":[0.0006349882,0.002121955,0.001035237,0.002202297,0.0005238928,0.00216123,0.003364285,0.001470941,0.01554865],"category_scores_gemma":[0.002646726,0.001437426,0.002028388,0.001782598,0.0007369874,0.001566568,0.003485514,0.00176342,0.01091447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018647,"about_ca_system_score_gemma":0.001133187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004697757,"about_ca_topic_score_gemma":0.0102846,"domain_scores_codex":[0.9993042,0.00005476778,0.00002662025,0.0001936054,0.0003576946,0.00006311204],"domain_scores_gemma":[0.9992946,0.000138438,0.00004373349,0.000371829,0.0001132381,0.00003810209],"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":[0.0002654888,0.0001374557,0.002505027,0.0008238642,0.0002424461,0.0003697189,0.0002912984,0.09317039,0.03322267,0.0176958,0.1296755,0.7216004],"study_design_scores_gemma":[0.0001009146,0.0001201538,0.001318599,0.0001068837,0.00005060255,0.001145672,0.0001442644,0.772725,0.05498224,0.03514844,0.1340131,0.0001440952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005952436,0.000494427,0.9270978,0.000203154,0.000271345,0.0002695581,0.008010956,0.0531263,0.004573974],"genre_scores_gemma":[0.07101605,0.0006046049,0.8845289,0.0002702693,0.00007986373,0.0004382887,0.02747622,0.009052038,0.006533922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01554865,"threshold_uncertainty_score":0.05201542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069255180327267,"score_gpt":0.2711514835420107,"score_spread":0.2604589317387381,"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."}}