[{"data":1,"prerenderedAt":234},["ShallowReactive",2],{"run:lego-sh1-30k":3,"run-findings:lego-sh1-30k":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-sh1-30k","A.8 SH degree ablation — sh_degree=1 (DC only, no view-dependence)","Run summary · Phase 5","2026-05-22","splat","8aa6da7",[12,13,14,15],"sh-ablation","lego-30k","sh-1","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","1",{"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},19.066896438598633,"22m 38s",false,64139,"3.615018e-2",{"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],0.3453391492366791,0.14180314540863037,0.12338285148143768,0.10154299437999725,0.08218108117580414,0.07242301851511002,0.06709547340869904,0.06305612623691559,0.06061524897813797,0.05836481600999832,0.05641603469848633,0.054648809134960175,0.05332093685865402,0.05208107829093933,0.050648950040340424,0.049344468861818314,0.048130229115486145,0.04710841178894043,0.04630119726061821,0.04553970694541931,0.04491093382239342,0.044483281672000885,0.04374345391988754,0.04303992912173271,0.0428125262260437,0.04224143177270889,0.041944973170757294,0.04125690460205078,0.041024789214134216,0.040600404143333435,0.04035794734954834,0.039829451590776443,0.03963341936469078,0.03936740756034851,0.03907924145460129,0.038764581084251404,0.038492463529109955,0.03831029683351517,0.037819042801856995,0.03798571601510048,0.03775598853826523,0.037747789174318314,0.03782086819410324,0.03750411421060562,0.037393588572740555,0.03729125112295151,0.03733952343463898,0.03698313236236572,0.03721214458346367,0.036965835839509964,0.036601971834897995,0.03648274391889572,0.036744482815265656,0.036559995263814926,0.03640632703900337,0.03634517267346382,0.03630939871072769,0.036293983459472656,0.03618994727730751,0.036295197904109955,0.03615017607808113,{"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],5207,4974,14797,{"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",[213,5,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228],"lego-sh0-30k","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",1782449788239]