Dataset Groups Activity Stream 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. BibTex: @dataset{Tamar_Rott_Shaham_and_Tali_Dekel_and_Tomer_Michaeli_2024, abstract = {SinGAN is a new unconditional generative model that can be learned from a single natural image.}, author = {Tamar Rott Shaham and Tali Dekel and Tomer Michaeli}, doi = {10.57702/ny6esoly}, institution = {No Organization}, keyword = {'generative model', 'single image', 'unconditional generative model'}, month = {dec}, publisher = {TIB}, title = {SinGAN: Learning a Generative Model from a Single Natural Image}, url = {https://service.tib.eu/ldmservice/dataset/singan--learning-a-generative-model-from-a-single-natural-image}, year = {2024} }
