RankSRGAN
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XPixelGroup
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Thanks for your project. My eviroument is Ubuntu16.04+Python3.6 +Pytorch1.1+CUDA10.0 I try to use this code to train distributed `python -m torch.distributed.launch --nproc_per_node=2 --master_port=4321 train_niqe.py -opt options/train/train_AdaGrowingNet.yml --launcher pytorch` First, for...
Thank you for your amazing work! I replace the base model as RRDB_net, with using the original Ranker model. The SR results are disappointing. It's like even GAN is not...
Traceback (most recent call last): File "test.py", line 35, in model = create_model(opt) File "/home/zzh/桌面/RankSRGAN/codes/models/__init__.py", line 19, in create_model m = M(opt) File "/home/zzh/桌面/RankSRGAN/codes/models/SR_model.py", line 26, in __init__ self.netG =...
When generating rank dataset, what should change in test_RankSRGAN.yml? For example, if generating DIV2K_train_ESRGAN rank dataset, which_model_G in test_RankSRGAN.yml should I set?
Do i need to set 'resume_state' in train_RankSRGAN.yml? if so, what should i write?
Hi， I noticed that your paper shows the results on the **PIRM test set**. But I cannot download the HR data from the official link, which seems to be invalid...
Thans for your great work! When `dataroot_LQ` has only one image, the code runs OK! But when I put more images (`DIV2K dataset`) to the dir of `dataroot_LQ: /DIV2K/DIV2K_train_HR`, the...
from data import create_dataloader, create_dataset from models import create_model I cannot find these functions: create_dataloader, create_datasetand and create_model
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ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation