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Generative Model

  • [CVPR 2019] f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
  • [ICCV 2019] (paper) Few-Shot Unsupervised Image-to-Image Translation
  • [ICCV 2019 best] (paper code) SinGAN: Learning a Generative Model from a Single Natural Image
  • [CVPR 2018] Multi-Content GAN for Few-Shot Font Style Transfer
  • [NIPS 2019] ( paper code )Few-shot Video-to-Video Synthesis
  • [ICCV 2019] (paper) Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
  • [AAAI 2020] MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
  • [CVPR 2020] One-Shot Domain Adaptation For Face Generation
  • [CVPR 2020] Semi-supervised Learning for Few-shot Image-to-Image Translation
  • [CVPR 2020] Meta-Transfer Learning for Zero-Shot Super-Resolution
  • [CVPR 2020] MineGAN: effective knowledge transfer from GANs to target domains with few images
  • [NIPS 2019] (paper colab code) First Order Motion Model for Image Animation
    • Recommand!!!
  • [ECCV 2020 spotliight] Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
  • [ECCV 2020] Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
  • [ECCV 2020] Few-shot Compositional Font Generation with Dual Memory
  • [ICCV 2019] (paper) Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
  • [ACMMM 2020] (paper) Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
  • [ACMMM 2020] (paper) F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
  • [CVPR 2020] 3FabRec: Fast Few-shot Face alignment by Reconstruction
  • [CVPR 2020] Semi-supervised Learning for Few-shot Image-to-Image Translation
  • [NIPS 2020] (paper Few-shot Image Generation with Elastic Weight Consolidation
  • [ICLR 2021] (paper) TOWARDS FASTER AND STABILIZED GAN TRAINING FOR HIGH-FIDELITY FEW-SHOT IMAGE SYNTHESIS
  • [AAAI 2021] (paper) Few-Shot Font Generation with Localized Style Representations and Factorization
  • [ACMMM 2021] ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach