[{"data":1,"prerenderedAt":220},["ShallowReactive",2],{"run:materials-30k":3,"run-findings:materials-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},"materials-30k","A.4 NeRF Synthetic materials 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\u002Fmaterials",{"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},12.708748817443848,"28m 27s",false,161935,"2.934952e-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],0.32482993602752686,0.1782146692276001,0.1893538534641266,0.18042030930519104,0.10952460765838623,0.08376117050647736,0.07027047127485275,0.06283402442932129,0.0577111579477787,0.05226530507206917,0.0491524375975132,0.047500066459178925,0.04461554437875748,0.04510039836168289,0.04361080750823021,0.04121160879731178,0.040758319199085236,0.0411929227411747,0.03837136924266815,0.03803405910730362,0.03663770854473114,0.03666161373257637,0.03427785262465477,0.03563983738422394,0.034800879657268524,0.03426200523972511,0.03498808294534683,0.03478240221738815,0.03302151709794998,0.03399479016661644,0.032974690198898315,0.03181339055299759,0.03126273304224014,0.03332946449518204,0.030596157535910606,0.03534577041864395,0.03592800721526146,0.03219984471797943,0.03307538852095604,0.03152063488960266,0.03200310841202736,0.0312812477350235,0.03093567118048668,0.030466675758361816,0.03175581246614456,0.03168892860412598,0.02953791618347168,0.031183447688817978,0.030892059206962585,0.029622098430991173,0.031080827116966248,0.03184066340327263,0.03045392408967018,0.029693935066461563,0.029153548181056976,0.030567817389965057,0.029589883983135223,0.03212744742631912,0.028252702206373215,0.02794322744011879,0.029349518939852715,{"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],5207,5717,28564,{"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",[208,209,210,211,212,213,5,214],"lego-sh3-30k","chair-30k","ficus-30k","drums-30k","hotdog-30k","mic-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",1782449788242]