| { | |
| "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 | |
| } |