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Run summary · P1 Phase G.5 final Pareto integration
lego-phase-h-pareto-20000
Phase H Pareto sweep @ stop_iter=20000 variant (early stop + SH progressive)
partial pass
01
設定
- dataset
- /Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
- gt_convention
- Premultiplied
- iterations
- 20,000
- 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
36.36dB
Wallclock
22m 40s
Final splats
448,401
Final loss
5.148423e-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
Splat count — refine の発火と最終構成
05
中間ログ抜粋
| iter | 本 run loss |
|---|---|
| 1 | 5.9384e-1 |
| 1,000 | 5.4017e-2 |
| 2,000 | 1.3694e-2 |
| 3,000 | 8.1200e-3 |
| 4,000 | 7.2523e-3 |
| 5,000 | 6.4929e-3 |
| 6,000 | 6.2017e-3 |
| 7,000 | 5.8908e-3 |
| 8,000 | 5.7881e-3 |
| 9,000 | 5.5598e-3 |
| 10,000 | 5.5345e-3 |
| 11,000 | 5.4222e-3 |
| 12,000 | 5.3670e-3 |
| 13,000 | 5.3116e-3 |
| 14,000 | 5.3206e-3 |
| 15,000 | 5.2549e-3 |
| 16,000 | 5.2017e-3 |
| 17,000 | 5.1661e-3 |
| 18,000 | 5.1266e-3 |
| 19,000 | 5.0596e-3 |
| 20,000 | 5.1484e-3 |