BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning

Training a generative model on a single image has drawn significant attention in recent years. Single image generative methods are designed to learn the internal patch distribution of a single natural image at multiple scales. These models can be used for drawing diverse samples that semantically re...

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Veröffentlicht in:arXiv.org 2022-12
Hauptverfasser: Kligvasser, Idan, Tamar Rott Shaham, Alkobi, Noa, Michaeli, Tomer
Format: Artikel
Sprache:eng
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