readme: ---
  tags:
  - scene-recognition
  - scene-generation
  - generative-adversarial-network
  metrics:
  - L1
  - PSNR
  - SSIM
  - FID
  datasets:
  - places2
  ---
  # AOT-GAN Places2
  AOT-GAN is a model that can be used for image in-painting. The Places2 checkpoint is trained on a dataset which should make it suitable for touching up and restoring images of landscapes, buildings, and other natural and developed places.
  
  This model was generated using [AOT-GAN-for-Inpainting](https://github.com/researchmm/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 Places2 dataset can be found here: http://places2.csail.mit.edu/download.html