SRFlow
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andreas128
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.7 to 6.3.0. Commits cefe0bf Release 6.3.0 a534fb9 Release 6.3.0b0 87920c5 Add changelog for 6.3.0 (#1669) dd6d9c7 add slide numbering (#1654) 5d2c5e2 Update state filter (#1664) 11ea593...
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Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3. Release notes Sourced from mistune's releases. Version 2.0.2 Fix escape_url via lepture/mistune#295 Version 2.0.1 Fix XSS for image link syntax. Version 2.0.0 First release...
https://github.com/andreas128/SRFlow/blob/5a007ad591c7be8bf32cf23171bfa4473e71683c/code/models/modules/SRFlowNet_arch.py#L92-L97 According to the lines, uniform noise between [-0.5,0.5) is added into the input image, is the operation necessary? And why the logdet should be updated like this? When I...
1. Is GT_size (size of HR image) hard-coded in the following place: - [https://github.com/andreas128/SRFlow/blob/master/code/models/modules/SRFlowNet_arch.py#L48](https://github.com/andreas128/SRFlow/blob/master/code/models/modules/SRFlowNet_arch.py#L48) - [https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L280](https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L280) - [https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L230](https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L230) - [https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L114](https://github.com/andreas128/SRFlow/blob/master/code/models/modules/FlowUpsamplerNet.py#L114) 2. If yes, does it mean that one can not...
Bumps [numpy](https://github.com/numpy/numpy) from 1.19.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [notebook](http://jupyter.org) from 6.1.4 to 6.4.12. [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a...
Thanks for your impressive work. During the training process, we found that the output NLL is negative. But theoretically, NLL should be positive. Is there any explanation for this?
Hey, I implement the SRFlow based on the paper and Glow source code with Pytorch. But I encounter the "NaN" problem during testing. I put the testing LR image and...
In the forward function of the RRDBNet def forward(self, x, get_steps=False): fea = self.conv_first(x) block_idxs = opt_get(self.opt, ['network_G', 'flow', 'stackRRDB', 'blocks']) or [] block_results = {} for idx, m in...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.0.1 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
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Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch