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odegeasslbc / FastGAN-pytorch

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
GNU General Public License v3.0
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Image distortion problem； #23

Closed hahahaha-hash closed 3 years ago

hahahaha-hash commented 3 years ago

There are about 20 images in the training set, and the number of iterations is set to 50000. Most of the output result images are distorted. If I want to improve the quality of the images in the results, may I ask from what aspects can I consider this problem?

odegeasslbc commented 3 years ago

Sorry, I think in current stage, it is simply because the model is not good enough to get good image quality with your dataset. Maybe let's follow the academic literature and see if new methods will be proposed to improve it。