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Run summary · P1.M5 multi-scene parity (低 wallclock + 低 splats 版)
hotdog-phase-g3-sh-progressive-30k
P1.D multi-scene re-chain: hotdog brushcompat + opacity_decay 30k
partial pass
01
設定
- dataset
- /Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/hotdog
- gt_convention
- Premultiplied
- 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
37.37dB
Wallclock
28m 17s
Final splats
310,045
Final loss
2.343549e-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 | 4.3290e-1 |
| 1,000 | 1.8886e-2 |
| 2,000 | 6.9609e-3 |
| 3,000 | 4.3936e-3 |
| 4,000 | 3.9338e-3 |
| 5,000 | 3.5234e-3 |
| 6,000 | 3.2906e-3 |
| 7,000 | 3.1358e-3 |
| 8,000 | 3.0796e-3 |
| 9,000 | 2.9833e-3 |
| 10,000 | 2.9097e-3 |
| 11,000 | 2.8179e-3 |
| 12,000 | 2.8351e-3 |
| 13,000 | 2.8119e-3 |
| 14,000 | 2.8073e-3 |
| 15,000 | 2.7594e-3 |
| 16,000 | 2.6536e-3 |
| 17,000 | 2.6074e-3 |
| 18,000 | 2.5329e-3 |
| 19,000 | 2.5036e-3 |
| 20,000 | 2.5280e-3 |
| 21,000 | 2.5151e-3 |
| 22,000 | 2.5014e-3 |
| 23,000 | 2.4548e-3 |
| 24,000 | 2.4207e-3 |
| 25,000 | 2.4385e-3 |
| 26,000 | 2.4328e-3 |
| 27,000 | 2.3726e-3 |
| 28,000 | 2.3487e-3 |
| 29,000 | 2.3661e-3 |
| 30,000 | 2.3435e-3 |