{"id":"W4402727917","doi":"10.1109/cvpr52733.2024.01006","title":"HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D","year":2024,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Consistency (knowledge bases); Diversity (politics); Computer science; Image (mathematics); Information retrieval; Artificial intelligence; Computer vision; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002693133,0.00008644272,0.0001091623,0.0003312753,0.0001128127,0.0004055036,0.0003305312,0.00003029044,0.00001248849],"category_scores_gemma":[0.0000112704,0.00008457301,0.00002853105,0.0007050254,0.00002684712,0.0004119294,0.001350917,0.0000872887,0.00001666245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001980932,"about_ca_system_score_gemma":0.00002540174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280392,"about_ca_topic_score_gemma":0.00003169682,"domain_scores_codex":[0.9991785,0.0000307171,0.0001451065,0.0003592478,0.0001409773,0.000145503],"domain_scores_gemma":[0.9996029,0.00005306364,0.00001253669,0.00020736,0.00004516658,0.00007904865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.582784e-7,0.00003318175,0.002305212,0.00005629203,0.000009428831,0.00004461044,0.001602808,4.23253e-7,0.0002628321,0.9307916,0.003231481,0.06166132],"study_design_scores_gemma":[0.000383431,0.0002530946,0.03470805,0.0005588906,0.00001747517,0.00003748538,0.00006509941,0.83214,0.005773163,0.08573337,0.03944987,0.0008801022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007531588,0.0006604846,0.9869981,0.001516955,0.000140594,0.0001450534,0.000001005645,0.000545339,0.002460896],"genre_scores_gemma":[0.8746492,0.0003016909,0.1236469,0.001218006,0.00001924798,0.000006909728,7.371034e-7,0.000006035574,0.0001512955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8671176,"threshold_uncertainty_score":0.3910281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08454682885715611,"score_gpt":0.300531481658729,"score_spread":0.2159846528015729,"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."}}