[{"data":1,"prerenderedAt":243},["ShallowReactive",2],{"run:ficus-30k":3,"run-findings:ficus-30k":191},{"run":4,"config":16,"metrics":47,"curve":53,"assets":185},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":15},"ficus-30k","A.4 NeRF Synthetic 他シーン展開 — ficus 30k baseline (sh=3)","Run summary · Phase 5","2026-05-22","splat","cd9491a",[12,5,13,14],"scene-ablation","scene-ficus","phase-5","partial",[17,20,23,26,29,32,35,38,41,44],{"key":18,"value":19},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Fficus",{"key":21,"value":22},"iterations","30,000",{"key":24,"value":25},"seed","42",{"key":27,"value":28},"capacity","1,000,000 splats",{"key":30,"value":31},"sh_degree","3",{"key":33,"value":34},"loss","L1Ssim",{"key":36,"value":37},"lambda","0.200",{"key":39,"value":40},"ssim","window=7 sigma=1",{"key":42,"value":43},"backend.backward","Simd",{"key":45,"value":46},"backend.loss_path","Gpu",{"psnr":48,"wallclock":49,"wallclock_regress":50,"splats":51,"final_loss":52},13.958805084228516,"22m 48s",false,60938,"2.284720e-2",{"loss":54,"splats":179},{"iters":55,"values":117},[56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116],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,[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178],0.3397918939590454,0.06827214360237122,0.07981359958648682,0.07501919567584991,0.048082057386636734,0.04090466350317001,0.035782746970653534,0.03413289412856102,0.03464670479297638,0.030901070684194565,0.031626321375370026,0.03333967924118042,0.031152430921792984,0.02998214401304722,0.03126563876867294,0.028760164976119995,0.02971734292805195,0.028902534395456314,0.027019426226615906,0.02887442708015442,0.02886851504445076,0.02742890454828739,0.027668995782732964,0.02876422554254532,0.0274904016405344,0.025252878665924072,0.026177778840065002,0.02702268958091736,0.02555888518691063,0.026905637234449387,0.02664247713983059,0.026738803833723068,0.028069037944078445,0.028659284114837646,0.02408011443912983,0.02641887217760086,0.02539730817079544,0.026827901601791382,0.025540534406900406,0.023706626147031784,0.022949039936065674,0.024650417268276215,0.023903559893369675,0.023980136960744858,0.024462834000587463,0.02416963502764702,0.024557527154684067,0.023433949798345566,0.023423142731189728,0.02335149049758911,0.022600341588258743,0.023971054702997208,0.02227000892162323,0.02510988712310791,0.025008654221892357,0.023110657930374146,0.024907175451517105,0.024704327806830406,0.0238131582736969,0.023488350212574005,0.02284719981253147,{"iters":180,"values":181},[56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116],[182,183,184,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51,51],5207,5957,15909,{"has_renders":186,"has_splat":50,"render_views":187},true,[188,189,190],"00","01","02",[192,221],{"id":193,"title":194,"date":195,"status":196,"polarity":197,"category":198,"axes":199,"tags":200,"task_code":207,"related_runs":208,"delta_psnr":216,"delta_wallclock":217,"rank":218,"verdict":15,"impact_summary":219,"detail_path":220},"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",[56],[14,201,202,203,204,205,206],"nerf-synthetic","multi-scene","psnr","scene-dependency","evaluation","8-scenes","A.4",[209,210,5,211,212,213,214,215],"lego-sh3-30k","chair-30k","drums-30k","hotdog-30k","mic-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",{"id":222,"title":223,"date":224,"status":196,"polarity":197,"category":198,"axes":225,"tags":227,"task_code":232,"related_runs":233,"delta_psnr":239,"delta_wallclock":240,"rank":218,"verdict":15,"impact_summary":241,"detail_path":242},"a-7-multi-scene-batched","A.7 × multi-scene — batching 効果は scene 依存 (-1.6% 〜 -18.6% で 12x の幅)","2026-05-23",[226],3,[14,228,229,230,202,204,231],"a-7","icb","batched","apple-silicon","A.7",[210,234,5,235,211,236,212,237,209,238],"chair-batched-30k","ficus-batched-30k","drums-batched-30k","hotdog-batched-30k","lego-a7-batched-30k","+0.130 dB 〜 -0.828 dB (mean -0.21 dB)","-1.6% 〜 -18.6% (mean -7.0%)","A.7 batched cmd buffer の wallclock 改善は scene 依存で chair -18.6% \u002F hotdog -5.4% \u002F drums -3.4% \u002F ficus -1.6% \u002F lego -6.16% の 5 シーン (12x の幅)。chair の突出は splat 数最大 (~130k) + scene geometry の compute\u002Fcommit ratio が高いことが要因と推測。一方 ficus \u002F drums は variance 範囲内、独立 effect 断定不可。卒論で「A.7 effective ≠ universal、scene 選択 + workload analysis 必須」と honest framing。","\u002Ffindings\u002Fa-7-multi-scene-batched\u002F",1782449787766]