metadata

tags:
  - face-recognition
  - face-generation
  - face-segmentation
  - generative-adversarial-network
metrics:
  - L1
  - PSNR
  - SSIM
  - FID
datasets:
  - celeba-hq

AOT-GAN CelebA-HQ

AOT-GAN is a model that can be used for image in-painting. The CelebA-HQ checkpoint is trained on synthetic human faces, which should make it suitable for touching up and restoring portraits.

This model was generated using AOT-GAN-for-Inpainting, cited as

@inproceedings{yan2021agg,
  author = {Zeng, Yanhong and Fu, Jianlong and Chao, Hongyang and Guo, Baining},
  title = {Aggregated Contextual Transformations for High-Resolution Image Inpainting},
  booktitle = {Arxiv},
  pages={-},
  year = {2020}
}

Dataset

The CelebA-HQ dataset was created with this codebase: https://github.com/tkarras/progressive_growing_of_gans, owned by NVidia and licensed under Creative Commons Attribution-NonCommercial 4.0 International.