README.md

metadata

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, 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