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aot-gan-places2
NimaBoscarino/aot-gan-places2
aot-gan-places2 is a machine learning model from NimaBoscarino. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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…
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 25, 2022
- SHA
- efa10114
Datasets
Model card
From the Hugging Face model README
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
- Library
- transformers
- Created
- Mar 2, 2022
- Updated
- Jan 25, 2022