https://github.com/guanyingc/tom-net_rendering

TOM-Net: Learning Transparent Object Matting from a Single Image, CVPR 2018
https://github.com/guanyingc/tom-net_rendering

matting pov-ray transparent

Last synced: about 2 months ago
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TOM-Net: Learning Transparent Object Matting from a Single Image, CVPR 2018

• Host: GitHub
• URL: https://github.com/guanyingc/tom-net_rendering
• Owner: guanyingc
• License: mit
• Created: 2018-03-08T06:33:37.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-08-01T09:07:04.000Z (over 6 years ago)
• Last Synced: 2024-07-30T19:58:49.754Z (5 months ago)
• Topics: matting, pov-ray, transparent
• Language: Python
• Homepage: https://guanyingc.github.io/TOM-Net
• Size: 2.04 MB
• Stars: 23
• Watchers: 4
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Rendering for Transparent Object Matting

**[Learning Transparent Object Matting from a Single Image, CVPR 2018 (Spotlight)](http://gychen.org/TOM-Net/)**,




[Guanying Chen](http://www.gychen.org)\*, [Kai Han](http://www.hankai.org/)\*, [Kwan-Yee K. Wong](http://i.cs.hku.hk/~kykwong/)




(\* indicates equal contribution)

## Introduction

As no off-the-shelf dataset for transparent object matting is available, and it is very tedious and difficult to produce a large real dataset with ground truth object masks, attenuation masks and refractive flow fields, we created a large-scale synthetic dataset by using [POV-Ray](http://www.povray.org/) to render images of synthetic transparent objects.



     


    



## Dependencies

- POV-Ray 3.7

- Python 2.7

## Sample Rendering Code 

After installing POV-Ray, type the following command to render a transparent object in front of an image and get the ground truth object mask, attenuation mask and refractive flow field. 

```

bash render.sh

```

We obtained the ground truth refractive flow field of an object by rendering it in front of a sequence of Gray-coded pattern.

## Generated POV-Ray Objects

We provide the 178K randomly generated POV-Ray objects in `.inc` format for your usage.

```

bash download_objects.sh

```