[{"data":1,"prerenderedAt":220},["ShallowReactive",2],{"run:mic-30k":3,"run-findings:mic-30k":189},{"run":4,"config":14,"metrics":45,"curve":51,"assets":183},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":13},"mic-30k","A.4 NeRF Synthetic mic 30k baseline (sh=3)","Run summary · Phase 5","2026-05-23","splat","5573681",[12,5],"auto-bench","partial",[15,18,21,24,27,30,33,36,39,42],{"key":16,"value":17},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Fmic",{"key":19,"value":20},"iterations","30,000",{"key":22,"value":23},"seed","42",{"key":25,"value":26},"capacity","1,000,000 splats",{"key":28,"value":29},"sh_degree","3",{"key":31,"value":32},"loss","L1Ssim",{"key":34,"value":35},"lambda","0.200",{"key":37,"value":38},"ssim","window=7 sigma=1",{"key":40,"value":41},"backend.backward","Simd",{"key":43,"value":44},"backend.loss_path","Gpu",{"psnr":46,"wallclock":47,"wallclock_regress":48,"splats":49,"final_loss":50},15.030896186828613,"22m 13s",false,31901,"2.961948e-2",{"loss":52,"splats":177},{"iters":53,"values":115},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],1,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,5500,6000,6500,7000,7500,8000,8500,9000,9500,10000,10500,11000,11500,12000,12500,13000,13500,14000,14500,15000,15500,16000,16500,17000,17500,18000,18500,19000,19500,20000,20500,21000,21500,22000,22500,23000,23500,24000,24500,25000,25500,26000,26500,27000,27500,28000,28500,29000,29500,30000,[116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176],0.33660978078842163,0.07562562823295593,0.07482538372278214,0.06552135944366455,0.04644019901752472,0.04154691845178604,0.0395592600107193,0.0385470986366272,0.03696262091398239,0.036249108612537384,0.03747636452317238,0.03542642295360565,0.034651923924684525,0.03455536812543869,0.03532346338033676,0.03440742939710617,0.03489749878644943,0.034673742949962616,0.03486473485827446,0.03368283808231354,0.03322245925664902,0.033200524747371674,0.03352326154708862,0.03235241770744324,0.032720260322093964,0.0317898727953434,0.03179992735385895,0.03151744604110718,0.03230753540992737,0.031534817069768906,0.03078022599220276,0.03156016021966934,0.030534742400050163,0.03110527992248535,0.03078005462884903,0.03198617696762085,0.031800344586372375,0.029848113656044006,0.030105415731668472,0.02956809476017952,0.029952585697174072,0.030127419158816338,0.030405491590499878,0.02960139326751232,0.029482249170541763,0.02981388196349144,0.029241185635328293,0.02945219911634922,0.03102865442633629,0.0298771932721138,0.029399298131465912,0.028476988896727562,0.031032100319862366,0.02845396287739277,0.0291614830493927,0.02880142629146576,0.02952941507101059,0.02987315133213997,0.028837651014328003,0.029396645724773407,0.029619481414556503,{"iters":178,"values":179},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],[180,181,182,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49],5207,5849,12550,{"has_renders":184,"has_splat":48,"render_views":185},true,[186,187,188],"00","01","02",[190],{"id":191,"title":192,"date":193,"status":194,"polarity":195,"category":196,"axes":197,"tags":198,"task_code":206,"related_runs":207,"delta_psnr":215,"delta_wallclock":216,"rank":217,"verdict":13,"impact_summary":218,"detail_path":219},"a-4-nerf-synthetic-scene-results","A.4 NeRF Synthetic 他シーン展開 — 8 シーン complete 30k 結果","2026-05-24","stable","mixed","experiment",[54],[199,200,201,202,203,204,205],"phase-5","nerf-synthetic","multi-scene","psnr","scene-dependency","evaluation","8-scenes","A.4",[208,209,210,211,212,5,213,214],"lego-sh3-30k","chair-30k","ficus-30k","drums-30k","hotdog-30k","materials-30k","ship-30k","-5.93 dB (8 シーン平均 18.95 vs lego 24.879、std ±6.0)","21-29 min (シーン非依存的、materials のみ +5 min)","high","8 シーン complete (lego + 7 新規) 30k 完遂。シーン依存性が PSNR で 17.6 dB の幅 (materials 12.71 〜 hotdog 30.29)、mean 18.95 ± 6.0 dB。本実装の brush SoTA 比 gap は scene-dependent で -7.4 dB (hotdog) 〜 -22.3 dB (ficus 含む)。共通要因仮説: SfM init.ply の sparsity (細い枝 \u002F マイク \u002F 反射 PBR で薄い) + refine grad_threshold の lego\u002Fhotdog tuning over-fit。卒論 evaluation で「lego baseline + multi-scene mean ± std」併記必須。","\u002Ffindings\u002Fa-4-nerf-synthetic-scene-results\u002F",1782449788260]