Few-Shot Unsupervised Image-to-Image Translation

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Few-Shot Unsupervised Image-to-Image Translation

• Author: Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
• Origin: https://arxiv.org/abs/1905.01723
• Related:
  • https://nvlabs.github.io/FUNIT/
  • https://github.com/NVlabs/FUNIT

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[8] Stargan: Unified generative adversarial networks for multi-domain image-to-image translation [2] Combogan: Unrestrained scalability for image domain translation [20] Unsupervised multi-domain image translation with domain-specific encoders/decoders. [4] One-shot unsupervised cross domain translation. [19] Multimodal unsupervised image-to-image translation. [29] Unsupervised image-to-image translation networks. [49] High-resolution image synthesis and semantic manipulation with conditional gans. [36] Semantic image synthesis with spatially adaptive normalization. [22] Perceptual losses for real-time style transfer and super-resolution. [53] The unreasonable effectiveness of deep features as a perceptual metric. [21] Image-to-image translation with conditional adversarial networks.