Copy-and-Paste-Networks-for-Deep-Video-Inpainting

KO | EN

gitlite — search

#javascript #hacktoberfest #ai #typescript #golang #android #rust #macos #nodejs #java #awesome #pytorch #security #open-source

Copy-and-Paste-Networks-for-Deep-Video-Inpainting

(★ 119)

Official Pytorch implementation of Copy-and-Paste Networks for Deep Video Inpainting (ICCV 2019)

Copy-and-Paste-Networks-for-Deep-Video-Inpainting 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Copy-and-Paste Networks for Deep Video Inpainting (ICCV 2019)
Official pytorch implementation for "Copy-and-Paste Networks for Deep Video Inpainting" (ICCV 2019) V.1.0

#### [Sungho Lee](https://sites.google.com/view/sungholee), [Seoung Wug Oh](https://sites.google.com/view/seoungwugoh), DaeYeun Won and [Seon Joo Kim](https://sites.google.com/site/seonjookim/)

[[Paper](https://arxiv.org/abs/1908.11587)] [[Supp](https://www.dropbox.com/s/mteo5artx5jb4nh/2855-supp.pdf?dl=1)]

### Video result
[![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/BKdxR9bQQMU/0.jpg)](https://www.youtube.com/watch?v=BKdxR9bQQMU)

### Requirements
- python 3.6
- pytorch 0.4

### Download weights
```
mkdir ./weight
wget -O ./weight/weight.pth "https://www.dropbox.com/s/vbh12ay2ubrw3m9/weight.pth?dl=0"
```

### Run
```
python CPNet_test.py -g [gpu_num] -D [dataset_path]
```

### Reference

If you use this code please cite:

```
@InProceedings{lee2019cpnet,
author = {Lee, Sungho and Oh, Seoung Wug and Won, DaeYeun and Kim, Seon Joo},
title = {Copy-and-Paste Networks for Deep Video Inpainting},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2019}
}
```
### Related works
Please check out our another approach for video inpainting.
```
Onion-Peel Networks for Deep Video Completion
Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim
ICCV 2019
```
[[Paper](https://arxiv.org/abs/1908.08718)] [[Github](https://github.com/seoungwugoh/opn-demo)] [[Video](https://youtu.be/bxerAkHAttE)]

### Term of use

This software is for non-commercial use only.
The source code is released under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) Licence
(see [this](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) for details)

Copy-and-Paste-Networks-for-Deep-Video-Inpainting

Copy-and-Paste-Networks-for-Deep-Video-Inpainting 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Copy-and-Paste-Networks-for-Deep-Video-Inpainting

Copy-and-Paste-Networks-for-Deep-Video-Inpainting 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README