Comments (2)
tamarott
commented on May 19, 2024
the outputs are automatically saved in the output folder
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bomtorazek
commented on May 19, 2024
hello,thx for your source code
in the output image,what's the mean of G(z_opt).png and fake_sample.png
which one is the output from the net?
If I'm correct, fake_sample is from "noise" which is used for the loss for discriminator, and G(z_opt) is from "z_opt" which is used for the reconstruction loss.
In addition, z_opt is a kind of optional noise and we can walk in noise-space by changing z_opt. The animation function is enabled by changing z_opt.
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Related Issues (20)
- Is there someone know how many variants of SinGAN since 2019? Could you please send me some variants for me, thanks!
- Does everyone know how to fix this runtime error？ HOT 3
- Error: Providing a bool or integral fill value without setting the optional `dtype` or `out` arguments is currently unsupported
- ValueError: the input array must have size 3 along `channel_axis`, got (197, 250) HOT 2
- Why the training always stop at scale 8 ?
- Black Image for fake_sample.png at scale 8 and 9 HOT 2
- How to use SinGAN to perform image translation just as CycleGAN.
- Lack of package versions in requirements.txt file.
- Lack of imsave in random_samples.py
- process of inject scale for image manip (supplemental material figure 3)
- Getting black images as output of harmonization HOT 2
- Can I train model from multiple images?
- mask result image
- version another pytorch intead of 1.4.0
- About Pretrained Model (Harmonize and Super Resolution)
- ValueRrror of SIFID
- No such file or directory: 'TrainedModels/balloons/scale_factor=0.793701,alpha=100/Gs.pth' HOT 2
- SIFID: nan
- draw_concat
- How to input image name
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