SinGAN: Learning a Generative Model from a Single Natural Image

SinGAN is a new unconditional generative model that can be learned from a single natural image.

Data and Resources

Cite this as

Tamar Rott Shaham, Tali Dekel, Tomer Michaeli (2024). Dataset: SinGAN: Learning a Generative Model from a Single Natural Image. https://doi.org/10.57702/ny6esoly

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1905.01164
Author Tamar Rott Shaham
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Tali Dekel
Tomer Michaeli
Homepage https://github.com/tamarott/SinGAN