AOT-GAN for High-Resolution Image Inpainting

AOT-GAN-for-Inpainting

AOT-GAN: Aggregated Contextual Transformations for High-Resolution Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo.

AOT-GAN: Aggregated Contextual Transformations for High-Resolution Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo.

Citation

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@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}
}

Introduction

Despite some promising results, it remains challenging for existing image inpainting approaches to fill in large missing regions in high resolution images (e.g., 512×512). We analyze that the difficulties mainly drive from simultaneously inferring missing contents and synthesizing

 

 

 

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