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Run SummaryRun ID: lego-cap500000-30k
Workspace: splat / commit 5573681
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Run summary · Phase 5

lego-cap500000-30k

E.6 capacity scaling: lego sh3 30k capacity=500000 (モバイル制約下の最適 capacity 探索)

auto-benchlego-cap500000-30k
partial pass
01

設定

dataset
/Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
iterations
30,000
seed
42
capacity
500,000 splats
sh_degree
3
loss
L1Ssim
lambda
0.200
ssim
window=7 sigma=1
backend.backward
Simd
backend.loss_path
Gpu
02

結果

Val PSNR
25.12dB
Wallclock
21m 28s
Final splats
80,883
Final loss
2.373877e-2
03

描画結果

学習後の eval pipeline から取得した代表視点。

rendered view 0000
rendered view 0101
rendered view 0202
04

3D ビューワー

学習結果 PLY を .splat 形式に変換し、antimatter15/splat の WebGL ビューワーで対話表示。

05

推移

Loss curve — 反復ごとの training loss
1e-1.71e-1.41e-1.01e-0.71e-0.46,00012k18k24k30kthis runloss
Splat count — refine の発火と最終構成
1,42322,23443,04563,85684,6676,00012k18k24k30kthis runsplats
06

中間ログ抜粋

iter本 run loss
13.4534e-1
5001.1788e-1
1,0009.8688e-2
1,5008.4617e-2
2,0005.6764e-2
2,5004.5869e-2
3,0004.0960e-2
3,5003.7667e-2
4,0003.4208e-2
4,5003.2527e-2
5,0003.2515e-2
5,5003.0112e-2
6,0003.0210e-2
6,5002.9471e-2
7,0002.9383e-2
7,5002.8598e-2
8,0002.7988e-2
8,5002.8669e-2
9,0002.6664e-2
9,5002.6669e-2
10,0002.6385e-2
10,5002.8117e-2
11,0002.6973e-2
11,5002.6096e-2
12,0002.5188e-2
12,5002.7232e-2
13,0002.6307e-2
13,5002.5007e-2
14,0002.4634e-2
14,5002.5202e-2
15,0002.4530e-2
15,5002.5032e-2
16,0002.4922e-2
16,5002.5062e-2
17,0002.4946e-2
17,5002.7631e-2
18,0002.4538e-2
18,5002.5458e-2
19,0002.5399e-2
19,5002.4253e-2
20,0002.6410e-2
20,5002.4172e-2
21,0002.5421e-2
21,5002.4818e-2
22,0002.5707e-2
22,5002.4035e-2
23,0002.5125e-2
23,5002.5337e-2
24,0002.4366e-2
24,5002.4072e-2
25,0002.4707e-2
25,5002.4491e-2
26,0002.4179e-2
26,5002.4546e-2
27,0002.4214e-2
27,5002.4526e-2
28,0002.4236e-2
28,5002.3805e-2
29,0002.4127e-2
29,5002.4564e-2
30,0002.3739e-2
07

関連 finding

この run を related_runs に含む finding (Positive / Negative どちらも)。

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