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Run SummaryRun ID: lego-mcmc-fix3-final-relocation-only-30k
Workspace: splat / commit c8c984a
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Run summary · G3 MCMC fix3 sweep

lego-mcmc-fix3-final-relocation-only-30k

G3 MCMC final — relocation only (scale_l1=0, noise=5e0)、ablation-C 30k full で Lego 30k、Phase I との差分で growth schedule 効果を測定

mcmcg3fix3smokenoise-sweeplego
partial pass
01

設定

dataset
/Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
gt_convention
WhiteBg
iterations
30,000
seed
42
capacity
1,000,000 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
14.65dB
Wallclock
2h 12m 29s
Final splats
1,315,605
Final loss
5.859037e-3
03

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。

04

推移

Loss curve — 反復ごとの training loss
1e-2.31e-1.81e-1.31e-0.91e-0.46,00012k18k24k30kthis runloss
Splat count — refine の発火と最終構成
-60,313300,047660,4061,020,7651,381,1256,00012k18k24k30kthis runsplats
05

中間ログ抜粋

iter本 run loss
13.4534e-1
5001.1768e-1
1,0009.6287e-2
1,5007.3221e-2
2,0004.5963e-2
2,5004.1709e-2
3,0003.1225e-2
3,5002.3799e-2
4,0002.3238e-2
4,5002.1558e-2
5,0002.4343e-2
5,5001.7535e-2
6,0001.7823e-2
6,5001.4844e-2
7,0001.8332e-2
7,5001.4514e-2
8,0001.3450e-2
8,5001.2978e-2
9,0001.2876e-2
9,5001.2028e-2
10,0001.6012e-2
10,5001.6548e-2
11,0001.2926e-2
11,5001.3615e-2
12,0001.4552e-2
12,5001.2943e-2
13,0001.1400e-2
13,5001.1040e-2
14,0001.1658e-2
14,5009.8650e-3
15,0009.0388e-3
15,5007.9801e-3
16,0007.7499e-3
16,5007.6351e-3
17,0008.1123e-3
17,5007.4211e-3
18,0007.1556e-3
18,5007.6250e-3
19,0007.1353e-3
19,5007.0371e-3
20,0006.7200e-3
20,5007.8889e-3
21,0006.8106e-3
21,5007.0776e-3
22,0006.1978e-3
22,5006.6342e-3
23,0006.5090e-3
23,5006.6537e-3
24,0006.4106e-3
24,5006.7448e-3
25,0006.2374e-3
25,5006.3165e-3
26,0006.7998e-3
26,5007.0761e-3
27,0006.6406e-3
27,5006.2000e-3
28,0006.5060e-3
28,5006.5154e-3
29,0006.4257e-3
29,5005.7958e-3
30,0005.8590e-3
06

関連 finding

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

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