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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Published in | 2023 IEEE International Conference on Image Processing (ICIP) pp. 1455 - 1459 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
08.10.2023
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Subjects | |
Online Access | Get full text |
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