DIFFUSION

TensorFlow Accelerated

2D

3D

1. Clean Samples $[x_0]$

2. Neural Score Field $[\nabla \log p]$

3. Langevin Generation $[p_\theta]$

Parameters & Architecture

Global Physics

Process Time $[t]$0.30

Noise Sigma $[\sigma]$12

Langevin $\eta$0.15

Langevin Noise0.40

Neural Architect

L1 (Sparsity)

L2 (Smoothness)

Optimization Diagnostics

Win

All

Loss: 0.000000 Steps: 0

Slice Z0.0

Learning Rate