{"id":"W4409761347","doi":"10.1109/vrw66409.2025.00101","title":"Using Signed Distance Fields to Achieve Temporal Compression of Mesh-Based Volumetric Video","year":2025,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Data compression; Compression (physics); Computer graphics (images); Signed distance function; Computer vision; Artificial intelligence; Materials 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":[0.0002020278,0.0001069723,0.0001832295,0.00056568,0.00008394082,0.00008779818,0.00068207,0.00006052443,0.000009359534],"category_scores_gemma":[0.00002728453,0.00009639726,0.00007054992,0.002336174,0.00002254612,0.0001491448,0.0003053658,0.00006122358,6.692443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292828,"about_ca_system_score_gemma":0.00008195016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001532805,"about_ca_topic_score_gemma":0.00001979996,"domain_scores_codex":[0.9990047,0.00006051143,0.0002951026,0.0002911306,0.0002080692,0.0001405378],"domain_scores_gemma":[0.9991076,0.0001041481,0.00008645952,0.0004789277,0.0001667807,0.00005609169],"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":[0.00003464927,0.000224735,0.01029937,0.00009339678,0.0000183328,0.000002828293,0.000160102,0.0007846429,0.002555846,0.9556068,0.007037766,0.02318158],"study_design_scores_gemma":[0.0001956191,0.0001507905,0.0008140993,0.0001185963,0.000003665391,2.039285e-7,0.000003191545,0.957132,0.03212953,0.007528421,0.001790361,0.0001334621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006041343,0.00004856499,0.992258,0.0003703055,0.0001774098,0.0002016624,0.000001558634,0.000212953,0.0006882119],"genre_scores_gemma":[0.8338988,0.000001662535,0.1651505,0.0007983975,0.000007740067,0.000005390572,0.000001604815,0.00000339758,0.0001324743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9563474,"threshold_uncertainty_score":0.3930966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295720373845945,"score_gpt":0.3342674489541149,"score_spread":0.3046954115695204,"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."}}