[{"data":1,"prerenderedAt":234},["ShallowReactive",2],{"run:lego-sh0-30k":3,"run-findings:lego-sh0-30k":192},{"run":4,"config":17,"metrics":48,"curve":54,"assets":186},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":16},"lego-sh0-30k","A.8 SH degree ablation — sh_degree=0 (DC only, no view-dependence)","Run summary · Phase 5","2026-05-22","splat","f564221",[12,13,14,15],"sh-ablation","lego-30k","sh-0","phase-5","partial",[18,21,24,27,30,33,36,39,42,45],{"key":19,"value":20},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Flego",{"key":22,"value":23},"iterations","30,000",{"key":25,"value":26},"seed","42",{"key":28,"value":29},"capacity","1,000,000 splats",{"key":31,"value":32},"sh_degree","0",{"key":34,"value":35},"loss","L1Ssim",{"key":37,"value":38},"lambda","0.200",{"key":40,"value":41},"ssim","window=7 sigma=1",{"key":43,"value":44},"backend.backward","Simd",{"key":46,"value":47},"backend.loss_path","Gpu",{"psnr":49,"wallclock":50,"wallclock_regress":51,"splats":52,"final_loss":53},16.50425910949707,"26m 47s",false,40288,"1.068443e-1",{"loss":55,"splats":180},{"iters":56,"values":118},[57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117],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,[119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179],0.34533917903900146,0.14150089025497437,0.14119358360767365,0.14623403549194336,0.14030706882476807,0.14015573263168335,0.1401015818119049,0.14015036821365356,0.13785462081432343,0.13491377234458923,0.1327129304409027,0.13033877313137054,0.1282258927822113,0.12649470567703247,0.1254347711801529,0.12435410916805267,0.1227104514837265,0.12172342836856842,0.12035270035266876,0.11922328174114227,0.11816997081041336,0.11747086048126221,0.11587370932102203,0.11554251611232758,0.1142672449350357,0.11376507580280304,0.11242499202489853,0.11268635839223862,0.11110355705022812,0.11050565540790558,0.11052097380161285,0.10975395143032074,0.10895034670829773,0.10974806547164917,0.10875033587217331,0.10845331102609634,0.10846465080976486,0.10833419859409332,0.10806924104690552,0.10792705416679382,0.10837078094482422,0.10757970809936523,0.10754115879535675,0.10791577398777008,0.10720841586589813,0.10784982889890671,0.107368104159832,0.10734134912490845,0.10727320611476898,0.10718052089214325,0.10754330456256866,0.10712127387523651,0.10713677108287811,0.10741311311721802,0.10758797824382782,0.10730548948049545,0.10683521628379822,0.10748884081840515,0.10730429738759995,0.10719545930624008,0.10684427618980408,{"iters":181,"values":182},[57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117],[183,184,185,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52,52],5207,4886,8746,{"has_renders":187,"has_splat":51,"render_views":188},true,[189,190,191],"00","01","02",[193],{"id":194,"title":195,"date":8,"status":196,"polarity":197,"category":198,"axes":199,"tags":202,"task_code":211,"related_runs":212,"delta_psnr":229,"delta_wallclock":230,"rank":231,"verdict":16,"impact_summary":232,"detail_path":233},"final-ablation-table","A.5 Final Ablation Table — brush vs 自作 + パラメータ ablation","draft","mixed","tables",[57,200,201],2,3,[15,203,204,205,206,207,208,209,210],"ablation","table","sh-degree","mcmc","multi-scene","brush","cuda","resolution-scaling","A.5",[5,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228],"lego-sh1-30k","lego-sh2-30k","lego-sh3-30k","lego-mcmc-30k","lego-res200-30k","lego-res400-30k","lego-res800-30k","chair-sh3-30k","ficus-sh3-30k","drums-sh3-30k","hotdog-sh3-30k","m4-brush-bench","c32-brush-bench","c32-orig3dgs-bench","c32-gsplat-smoke","phase5-step31-x-30k","-12.6 dB (自作 24.84 vs brush 37.46)","brush は自作の 0.39× (= 2.59x 速い、同 M4 Max)","high","三層対比 (自作 M4 \u002F brush V100 \u002F CUDA V100) で wgpu→Vulkan が 37.46 dB \u002F 8m24s と CUDA orig (28.4) \u002F gsplat (32.9) より高 PSNR + 高速、自作 24.84 \u002F 23m40s に対し brush wgpu→Metal が 37.40 \u002F 9m08s。「wgpu 抽象は重い」の素朴予想が 2 機種で逆転し、第 2 軸の主張を『抽象コスト \u003C 実装最適化レベル』に再 framing 必須。","\u002Ffindings\u002Ffinal-ablation-table\u002F",1782449788237]