{"id":"W4417000825","doi":"10.1145/3763326","title":"AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Intrinsics; Rendering (computer graphics); View synthesis; Gaussian; Graphics pipeline; Point cloud; Deep neural networks","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":[0.0002654698,0.0002593709,0.0002850582,0.0003291516,0.0005746999,0.0002210079,0.0009901075,0.0001523613,0.00008157668],"category_scores_gemma":[0.00003956586,0.0002411717,0.0002330861,0.001268027,0.0001198225,0.0004523302,0.00002699659,0.0003979297,0.00003578512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003599256,"about_ca_system_score_gemma":0.0001067089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427225,"about_ca_topic_score_gemma":0.0003399398,"domain_scores_codex":[0.9983448,0.0001358736,0.0003616076,0.0005711702,0.0002349816,0.0003515724],"domain_scores_gemma":[0.9981977,0.0004433518,0.00008940593,0.00107552,0.00008224709,0.0001118247],"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":[0.00005511753,0.000403906,0.0005322061,0.0000334944,0.0006174421,0.00003479945,0.0009359806,0.01353015,0.003293843,0.02165697,0.002297665,0.9566084],"study_design_scores_gemma":[0.00534255,0.0006576111,0.01299607,0.001170592,0.000817138,0.00002993257,0.0007577476,0.5810618,0.06492675,0.1675374,0.1615204,0.003181971],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001194223,0.0001491273,0.9897038,0.004794804,0.0008964916,0.0001983843,0.00003212323,0.0001872994,0.002843778],"genre_scores_gemma":[0.7864865,0.0001335261,0.2109412,0.001952662,0.00007747218,0.0000286682,0.000007961127,0.00001349964,0.0003584916],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9534265,"threshold_uncertainty_score":0.9834697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030212405609238,"score_gpt":0.2567737303617076,"score_spread":0.2364716063056153,"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."}}