| # Stability A/B report: NERVE vs SPAN_S | |
| **Setup.** Both networks were trained from scratch with **identical configs** - only | |
| `network_g` differs (NERVE vs SPAN_S). Same data, same degradation, same losses, | |
| same schedule. Everything is in `configs/`. | |
| **Validation.** Urban100 x4 bicubic (standard, no self-made degradation). PSNR/SSIM at each validation step.\n\n## Graphs | |
| - `losses.png` - training losses (charbonnier, MS-SSIM, perceptual) for both networks. | |
| - `validation.png` - validation **PSNR** (left) and **SSIM** (right). | |
| - `colour_stability.png` - the average per-channel colour difference between the model | |
| output and the ground truth, in 0-255 units, at each checkpoint. One panel per colour | |
| channel plus a combined "largest bias" panel. **Flat lines near 0 mean the model is not | |
| developing a colour cast while it trains**; big swings or a rising trend mean it is. | |
| Raw numbers: `colour_bias.csv`. | |