[{"data":1,"prerenderedAt":220},["ShallowReactive",2],{"run:ship-30k":3,"run-findings:ship-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},"ship-30k","A.4 NeRF Synthetic ship 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\u002Fship",{"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},15.03847599029541,"23m 58s",false,107450,"3.437925e-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],0.3711286783218384,0.09467338025569916,0.09974066913127899,0.1045021116733551,0.06485743820667267,0.05241125077009201,0.05036633089184761,0.047057896852493286,0.04560059681534767,0.04395897686481476,0.04336128011345863,0.04226101189851761,0.04120798781514168,0.0405203253030777,0.03973153978586197,0.03940987586975098,0.03923129662871361,0.0436784066259861,0.039049919694662094,0.038555845618247986,0.03811796009540558,0.03755153343081474,0.03748706728219986,0.03743584081530571,0.038215965032577515,0.03741900622844696,0.03697250783443451,0.0370560921728611,0.036650024354457855,0.03693540766835213,0.03609437495470047,0.03614368289709091,0.03609869256615639,0.03584461659193039,0.03572401404380798,0.03616637736558914,0.03545640408992767,0.03649680316448212,0.03530879318714142,0.03503931313753128,0.0357784703373909,0.03533099591732025,0.035422183573246,0.0354602113366127,0.03499262407422066,0.03505055978894234,0.03502505272626877,0.03504162281751633,0.03509446606040001,0.03548724204301834,0.03499282896518707,0.03608669713139534,0.03477756679058075,0.03473284840583801,0.03455555438995361,0.034928254783153534,0.03459208458662033,0.034922774881124496,0.03429245576262474,0.03437161073088646,0.034379247575998306,{"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],5207,5912,28667,{"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",[208,209,210,211,212,213,214,5],"lego-sh3-30k","chair-30k","ficus-30k","drums-30k","hotdog-30k","mic-30k","materials-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",1782449788592]