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exp_139_baseline_repro
Completeml-02Started —
26.6 dB
Train PSNR
Momentum
Plateau
Avg PSNR gaining slowly (+-0.57 dB / 5K steps)
PSNR Δ5K: -0.57 dB
Gaussian growth: +150,951
Loss trend: Decreasing
Visual Analysis
ACCELERATINGAll visual metrics improving (11 checkpoints analyzed)
SSIM
0.818
Blur Ratio
0.503
Edge Preservation
0.608
Expression Fidelity
1.000
Progress
0%
50,000 / 0 steps
Gaussians
171.0K
Growing
Speed
—
Duration
—
Densify Window
0K–0K
0 events
Batch Size
1
Step 50,0000 total
densify
Training Metrics
Train + Val PSNR (dB) — Higher is Better
Training Loss — Lower is Better
Gaussian Count — Grows During Densification
Training Speed (iterations/sec) & GPU Memory (GB)
Visual Progress
Step 50Kml-02
— · Step 50K
exp 139 baseline repro
ml-02
—
MM
44
/100
26.6 dB
Step 45Kml-02
— · Step 45K
exp 139 baseline repro
ml-02
—
MM
13
/100
18.5 dB
Step 40Kml-02
— · Step 40K
exp 139 baseline repro
ml-02
—
MM
36
/100
24.5 dB
Step 35Kml-02
— · Step 35K
exp 139 baseline repro
ml-02
—
MM
37
/100
25.7 dB
Step 30Kml-02
— · Step 30K
exp 139 baseline repro
ml-02
—
MM
31
/100
23.1 dB
Step 25Kml-02
— · Step 25K
exp 139 baseline repro
ml-02
—
MM
38
/100
24.9 dB
Step 20Kml-02
— · Step 20K
exp 139 baseline repro
ml-02
—
MM
25
/100
23.2 dB
Step 15Kml-02
— · Step 15K
exp 139 baseline repro
ml-02
—
MM
32
/100
24.6 dB
Step 10Kml-02
— · Step 10K
exp 139 baseline repro
ml-02
—
MM
6
/100
16.6 dB
Step 5Kml-02
— · Step 5K
exp 139 baseline repro
ml-02
—
MM
4
/100
15.9 dB
Step 1ml-02
— · Step 1
exp 139 baseline repro
ml-02
—
MM
1
/100
1.3 dB
Full Configuration
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