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https://github.com/maxorange/pix2vox
Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks
https://github.com/maxorange/pix2vox
gan pix2vox sketch voxel
Last synced: about 1 month ago
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Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks
- Host: GitHub
- URL: https://github.com/maxorange/pix2vox
- Owner: maxorange
- License: gpl-3.0
- Created: 2017-04-29T16:10:00.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-19T08:19:12.000Z (over 6 years ago)
- Last Synced: 2024-08-02T11:14:23.756Z (4 months ago)
- Topics: gan, pix2vox, sketch, voxel
- Language: Python
- Size: 54 MB
- Stars: 243
- Watchers: 14
- Forks: 46
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# pix2vox
[[Demonstration video]](https://maxorange.github.io/pix2vox/)
Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks.## Generated samples
### Single-category generation
### Multi-category generation
## Requirements
The following python packages are required for running the application. If you are using [anaconda](https://www.continuum.io/), you can easily install VTK5 and PyQt4 (or they may already be installed).
* [binvox-rw-py](https://github.com/dimatura/binvox-rw-py)
* [numpy](https://github.com/numpy/numpy)
* [scipy](https://github.com/scipy/scipy)
* [OpenCV](http://opencv.org/)
* [TensorFlow](https://github.com/tensorflow/tensorflow) (GPU support is recommended).* [VTK5](http://www.vtk.org/)
```
$ conda install -c anaconda vtk=5.10.1
```* [PyQt4](https://www.riverbankcomputing.com/software/pyqt/intro)
```
$ conda install -c anaconda pyqt=4.11.4
```* [QDarkStyleSheet](https://github.com/ColinDuquesnoy/QDarkStyleSheet)
```
$ pip install qdarkstyle
```## Getting started
1. Install the python packages above
2. Install [Git LSF](https://git-lfs.github.com/) (You need Git LSF to download trained model file)
3. Download the code from GitHub:```
$ git lsf clone https://github.com/maxorange/pix2vox.git
$ cd pix2vox
```4. Run the code:
```
$ python application.py
```