zalandoresearch / spatial_gan Goto Github PK
View Code? Open in Web Editor NEWSpatial Generative Adversarial Networks
License: MIT License
Spatial Generative Adversarial Networks
License: MIT License
Hello,
I was interested in checking this out as it proposes to preserve larger features, create larger textures, and generate faster than Gatys. But outside your model that you've uploaded, I cannot produce good results on textures that I give it myself.
This is the source texture I used, a 512x512
After over an hour and half of training (on a Titan X Pascal), this is the snapshot:
It doesn't seem like the default parameterization do very well. We've trained for over 20 hours and it pretty much stays at this level of quality.
syntax errors, library inconsistencies and I have the feeling you do not care.
I want to ask if this method can process a single channel image (like: grayscale). If it is possible, can I find out about the configuration? And whether this can make the process faster? Thank you
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