{"id":"W4413145014","doi":"10.1109/cvpr52734.2025.01032","title":"FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting","year":2025,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Texture (cosmology); Artificial intelligence; Computer vision; Computer graphics (images); Gaussian; Object (grammar); Image (mathematics); Physics","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":[0.0001452928,0.0001181821,0.0001126369,0.0002301842,0.0001462132,0.0003765823,0.0004233315,0.00005286424,0.00001685065],"category_scores_gemma":[0.000007019764,0.00008839005,0.00003320532,0.000699608,0.0000205384,0.0003024456,0.0002052221,0.00009123273,0.000003897355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002113873,"about_ca_system_score_gemma":0.00006763877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002572865,"about_ca_topic_score_gemma":0.00005233835,"domain_scores_codex":[0.9991919,0.0000339226,0.0001746969,0.0003239031,0.0001297028,0.0001458155],"domain_scores_gemma":[0.999428,0.00002065222,0.00005440633,0.0003696855,0.00009301827,0.00003425405],"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":[0.000001795305,0.00001983772,0.001044659,0.00001315434,0.00001863063,0.000005818347,0.0002509454,0.000007727629,0.0009998302,0.9148974,0.003055916,0.07968432],"study_design_scores_gemma":[0.0002769688,0.0001711108,0.001503041,0.0001270431,0.000008349768,0.00002142538,0.00001931424,0.9527718,0.03250468,0.00319919,0.009112646,0.0002844621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002693498,0.0000440791,0.9851263,0.0005156155,0.0001748082,0.000140799,3.731869e-7,0.0004873517,0.01081719],"genre_scores_gemma":[0.8559006,0.00001067343,0.1413231,0.001456675,0.00006448757,0.00001735782,0.000004859761,0.000006073161,0.001216125],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.952764,"threshold_uncertainty_score":0.3631392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385150009443461,"score_gpt":0.2831319926791733,"score_spread":0.2692804925847387,"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."}}