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Run SummaryRun ID: lego-cap200000-30k
Workspace: splat / commit 5573681
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Run summary · Phase 5

lego-cap200000-30k

E.6 capacity scaling: lego sh3 30k capacity=200000 (モバイル制約下の最適 capacity 探索)

auto-benchlego-cap200000-30k
partial pass
01

設定

dataset
/Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
iterations
30,000
seed
42
capacity
200,000 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
24.60dB
Wallclock
21m 42s
Final splats
85,021
Final loss
2.479345e-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
1,21623,16545,11467,06389,0126,00012k18k24k30kthis runsplats
06

中間ログ抜粋

iter本 run loss
13.4534e-1
5001.1788e-1
1,0009.8646e-2
1,5008.0682e-2
2,0005.5204e-2
2,5004.4785e-2
3,0003.7747e-2
3,5003.6713e-2
4,0003.3532e-2
4,5003.2041e-2
5,0003.0150e-2
5,5003.0239e-2
6,0002.9949e-2
6,5002.9865e-2
7,0002.9755e-2
7,5002.7583e-2
8,0002.7774e-2
8,5002.7300e-2
9,0002.6863e-2
9,5002.6358e-2
10,0002.6512e-2
10,5002.5722e-2
11,0002.6631e-2
11,5002.5611e-2
12,0002.6265e-2
12,5002.5182e-2
13,0002.5521e-2
13,5002.5641e-2
14,0002.6685e-2
14,5002.4980e-2
15,0002.3840e-2
15,5002.5142e-2
16,0002.5438e-2
16,5002.5113e-2
17,0002.4677e-2
17,5002.6052e-2
18,0002.5227e-2
18,5002.4382e-2
19,0002.4877e-2
19,5002.4671e-2
20,0002.4825e-2
20,5002.4048e-2
21,0002.4430e-2
21,5002.6158e-2
22,0002.3815e-2
22,5002.4220e-2
23,0002.4617e-2
23,5002.4636e-2
24,0002.3807e-2
24,5002.4171e-2
25,0002.3782e-2
25,5002.3542e-2
26,0002.3921e-2
26,5002.3970e-2
27,0002.4141e-2
27,5002.4695e-2
28,0002.3269e-2
28,5002.4292e-2
29,0002.3096e-2
29,5002.3070e-2
30,0002.4793e-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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