{
  "arch": "nafnet_cascade.CascadeModel",
  "arch_config": {},
  "scale": 4,
  "input": "RGB float in [0,1], 1x3xHxW low-light noisy LR",
  "output": "4x upscaled RGB",
  "training": {
    "iters": 20000,
    "batch": 8,
    "lr": 0.0001,
    "loss": "Y-Charbonnier (+0.1 RGB)",
    "data": "NPPE3 competition train(1105) + val(237) pairs",
    "ema_decay": 0.999,
    "patch": "64, then 96 from iter 16k",
    "init": "NAFNet-SIDD-width32 (denoiser) + RealESRNet_x4plus (SR)"
  },
  "lb_psnr": 39.88754
}