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tamarott / SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
https://tamarott.github.io/SinGAN.htm
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Once we train the SR GAN / EditorGAN/Animator/Hormonization #89

Open j-sieger opened 4 years ago

j-sieger commented 4 years ago

Once we train the SR GAN / EditorGAN/Animator/Hormonization , whether we can run this inference on random images from google and get the corresponding output? Example: i have trained animator with tree image and got the nice animation of wind blow. If i use these weights and run the generator with another image say flight or something. whether i can get animation?

tamarott commented 4 years ago

once you have a trained SinGAN model, it is subtitle for generation of the image you trained it for. For editing and harmonization you can input different reference images (as described in the readme)

shamuiscoding commented 3 years ago

@tamarott Does this mean that we can't used a SR model that is trained on imageA to super-resolve for imageB, C, D...etc.?