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Run summary · Phase 5 MCMC validation
lego-mcmc-fix2-30k
A.2 MCMC 完全実装 — fix#2 (opacity_l1=0、scale_l1 弱、reorder 済) で Lego 30k
partial pass
01
設定
- dataset
- /Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
- 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
17.38dB
Wallclock
1h 10m 14s
Final splats
1,000,000
Final loss
6.086212e-2
03
描画結果
学習後の eval pipeline から取得した代表視点。
00
01
0204
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
Splat count — refine の発火と最終構成
06
中間ログ抜粋
| iter | 本 run loss |
|---|---|
| 1 | 3.4534e-1 |
| 500 | 1.4916e-1 |
| 1,000 | 1.5206e-1 |
| 1,500 | 1.5193e-1 |
| 2,000 | 1.3335e-1 |
| 2,500 | 1.0997e-1 |
| 3,000 | 1.0256e-1 |
| 3,500 | 1.0020e-1 |
| 4,000 | 9.6511e-2 |
| 4,500 | 9.1617e-2 |
| 5,000 | 8.7860e-2 |
| 5,500 | 8.5908e-2 |
| 6,000 | 8.4036e-2 |
| 6,500 | 8.2469e-2 |
| 7,000 | 7.7913e-2 |
| 7,500 | 7.7221e-2 |
| 8,000 | 7.2353e-2 |
| 8,500 | 7.0200e-2 |
| 9,000 | 6.8204e-2 |
| 9,500 | 6.6680e-2 |
| 10,000 | 6.6534e-2 |
| 10,500 | 6.6811e-2 |
| 11,000 | 6.5592e-2 |
| 11,500 | 6.6283e-2 |
| 12,000 | 6.5545e-2 |
| 12,500 | 6.4604e-2 |
| 13,000 | 6.6286e-2 |
| 13,500 | 6.5306e-2 |
| 14,000 | 6.5174e-2 |
| 14,500 | 6.4529e-2 |
| 15,000 | 6.4400e-2 |
| 15,500 | 6.3403e-2 |
| 16,000 | 6.3314e-2 |
| 16,500 | 6.3952e-2 |
| 17,000 | 6.3169e-2 |
| 17,500 | 6.3574e-2 |
| 18,000 | 6.3363e-2 |
| 18,500 | 6.3776e-2 |
| 19,000 | 6.2995e-2 |
| 19,500 | 6.2490e-2 |
| 20,000 | 6.3260e-2 |
| 20,500 | 6.1870e-2 |
| 21,000 | 6.2723e-2 |
| 21,500 | 6.2446e-2 |
| 22,000 | 6.2311e-2 |
| 22,500 | 6.2650e-2 |
| 23,000 | 6.2179e-2 |
| 23,500 | 6.3124e-2 |
| 24,000 | 6.2037e-2 |
| 24,500 | 6.2625e-2 |
| 25,000 | 6.2018e-2 |
| 25,500 | 6.3068e-2 |
| 26,000 | 6.0904e-2 |
| 26,500 | 6.1672e-2 |
| 27,000 | 6.2469e-2 |
| 27,500 | 6.2045e-2 |
| 28,000 | 6.0749e-2 |
| 28,500 | 6.1537e-2 |
| 29,000 | 6.1398e-2 |
| 29,500 | 6.1129e-2 |
| 30,000 | 6.0862e-2 |