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license: mit tags: - super-resolution - image-denoising - real-esrgan - pytorch
Low-Light Denoising + 4x Super-Resolution (Real-ESRGAN, fine-tuned)
Fine-tuned RRDBNet (Real-ESRGAN x4plus) generator for joint denoising and 4x
super-resolution of low-light images, trained on the Kaggle dlp-26t2-nppe3
competition dataset.
Usage
from basicsr.archs.rrdbnet_arch import RRDBNet
from huggingface_hub import hf_hub_download
import torch
path = hf_hub_download("{repo_id}", "finetuned_x4plus.pth")
model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
model.load_state_dict(torch.load(path, map_location="cpu")["params_ema"])
model.eval()
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