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kobeshegu/README.md
  • ๐Ÿ‘‹ Hi, Iโ€™m Mengping Yang (You can just call me Mengping)
  • ๐Ÿ‘€ Iโ€™m very interested in Generative Adversarial Networks (GANs), Diffusion Models, and Few-shot Learning.
  • ๐ŸŒฑ Iโ€™m currently a Ph.D candidate (From 2019.09 to now, expected to graduate at 2024.06) in East China University of Science and Technology (ECUST).

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  1. awesome-few-shot-generation awesome-few-shot-generation Public

    A curated list of awesome few-shot image generation papers

    50 3

  2. ECCV2022_WaveGAN ECCV2022_WaveGAN Public

    The official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)

    Python 72 7

  3. FreGAN_NeurIPS2022 FreGAN_NeurIPS2022 Public

    [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

    Python 55 2

  4. CKA-Evaluation CKA-Evaluation Public

    Code for our metric paper: Revisiting the Evaluation of Image Synthesis with GANs

    Python 1

  5. Monalissaa/DisenDiff Monalissaa/DisenDiff Public

    [CVPR`2024, Oral] Attention Calibration for Disentangled Text-to-Image Personalization

    Python 60 1

  6. llm-conditioned-diffusion/llm-conditioned-diffusion.github.io llm-conditioned-diffusion/llm-conditioned-diffusion.github.io Public

    HTML 1 1