You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

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