松田研究室
Run SummaryRun ID: lego-cap100000-30k
Workspace: splat / commit 5573681
← Run Index
Run summary · Phase 5

lego-cap100000-30k

E.6 capacity scaling: lego sh3 30k capacity=100000 (モバイル制約下の最適 capacity 探索)

auto-benchlego-cap100000-30k
partial pass
01

設定

dataset
/Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
iterations
30,000
seed
42
capacity
100,000 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
24.88dB
Wallclock
21m 22s
Final splats
81,325
Final loss
2.387824e-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
1,40122,33443,26664,19885,1316,00012k18k24k30kthis runsplats
06

中間ログ抜粋

iter本 run loss
13.4534e-1
5001.1788e-1
1,0009.7745e-2
1,5008.1642e-2
2,0005.7827e-2
2,5004.6790e-2
3,0004.2015e-2
3,5003.8441e-2
4,0003.6746e-2
4,5003.3014e-2
5,0003.2390e-2
5,5003.1201e-2
6,0002.9737e-2
6,5002.9914e-2
7,0002.8972e-2
7,5002.8794e-2
8,0002.9588e-2
8,5002.7823e-2
9,0002.7934e-2
9,5002.7682e-2
10,0002.6685e-2
10,5002.6545e-2
11,0002.7776e-2
11,5002.5666e-2
12,0002.5442e-2
12,5002.5356e-2
13,0002.6523e-2
13,5002.7492e-2
14,0002.6911e-2
14,5002.5792e-2
15,0002.5593e-2
15,5002.4739e-2
16,0002.5244e-2
16,5002.5446e-2
17,0002.5543e-2
17,5002.5465e-2
18,0002.4338e-2
18,5002.5562e-2
19,0002.7105e-2
19,5002.7408e-2
20,0002.4733e-2
20,5002.4414e-2
21,0002.5307e-2
21,5002.3786e-2
22,0002.4327e-2
22,5002.5127e-2
23,0002.4807e-2
23,5002.6547e-2
24,0002.4824e-2
24,5002.4631e-2
25,0002.4600e-2
25,5002.3745e-2
26,0002.4723e-2
26,5002.5792e-2
27,0002.4608e-2
27,5002.4943e-2
28,0002.3862e-2
28,5002.4414e-2
29,0002.4376e-2
29,5002.4112e-2
30,0002.3878e-2
07

関連 finding

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

© 2026 大竹律輝 — 松田研究室