Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis

Recently there has been a growing interest in learning generative models from a single image. This task is important as in many real world applications, collecting large dataset is not feasible. Existing work like SinGAN is able to synthesize novel images that resemble the patch distribution of the...

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Bibliographic Details
Published in2023 IEEE International Conference on Image Processing (ICIP) pp. 1455 - 1459
Main Authors Shen, Jianghao, Wu, Tianfu
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.10.2023
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