Comments (5)
meta.py
has a bug on line https://github.com/XuecaiHu/Meta-SR-Pytorch/blob/master/model/meta.py#L99 since we always feed the scaling factor of 2. That might be the reason that it doesn't work.
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metardn.py
implements Meta-RDN from the paper. I'm not fully sure if meta.py
implements BicuConv or Meta-Bicu from the paper, I guess one of those two is missing. Maybe @XuecaiHu can clarify it?
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@Auth0rM0rgan @tetterl sorry for the late reply. meta.py is not the meta-bicu/ bicuconv. In meta.py, we directly concatenate the output feature(by upsampling s times) and pos_mat instead of using the pos_mat to predict weights for each pixel. But we find it doesnot work. It is a method we donot mention in our paper.
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We donot provide the implementation of metabicu and bicuconv. It is easy to implement them by reference to meta.py
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thank you, i will fix the bug later and retrain our model.
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Related Issues (20)
- Have you debugged it yet?
- Meta-Upscale Module
- meta-upscale
- meta-upscale的输入
- 请问输入矩阵为什么需要mask
- Meta-upscale的实现 HOT 3
- RuntimeError: cuda runtime error (2) HOT 5
- Trying to train Meta-RCAN but failed HOT 2
- Testing directories HOT 3
- rewrite dataloader for more recnt Pytorch
- meta-learning for weight prediction
- dataloader error, help plz~
- Higher PSNR when i use pretrained model?
- 请问怎样运行 geberate_LR_metasr_X1_X4.m 文件?
- Pretrained models
- 如何将MetaUpSampler 改成适用于3d图像的上采样?
- 请问,想改成 针对3d数据,该怎么改? 比如(batch,C, h, w, d),超分到(batch, C, H, W, D)。 HOT 2
- 你好,能帮忙指点下吗? 改成3d 后 pos_mat_small 维度不是Scale x Scale x Scale x 3的维度? h_offset这需要改吗? HOT 3
- 你好,cols = nn.functional.unfold(up_x.permute(0, 2, 3, 1), self.kernel_size, padding=1),该咋改呀? HOT 1
- Pre-training model selection for testing
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