https://github.com/lucidrains/pi-gan-pytorch

Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
https://github.com/lucidrains/pi-gan-pytorch

artificial-intelligence deep-learning film generative-adversarial-network nerf

Last synced: about 1 month ago
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Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch

• Host: GitHub
• URL: https://github.com/lucidrains/pi-gan-pytorch
• Owner: lucidrains
• License: mit
• Created: 2020-12-04T17:56:38.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-22T19:40:40.000Z (almost 4 years ago)
• Last Synced: 2024-12-17T02:52:10.615Z (about 1 month ago)
• Topics: artificial-intelligence, deep-learning, film, generative-adversarial-network, nerf
• Language: Python
• Homepage:
• Size: 144 KB
• Stars: 116
• Watchers: 13
• Forks: 15
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


## π-GAN - Pytorch (wip)

Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch.

Project video from authors

## Install

```bash

$ pip install pi-gan-pytorch

```

## Usage

```python

from pi_gan_pytorch import piGAN, Trainer

gan = piGAN(

    image_size = 128,

    dim = 512

).cuda()

trainer = Trainer(

    gan = gan,

    folder = '/path/to/images'

)

trainer()

```

## Citations

```bibtex

@misc{chan2020pigan,

    title={pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis}, 

    author={Eric R. Chan and Marco Monteiro and Petr Kellnhofer and Jiajun Wu and Gordon Wetzstein},

    year={2020},

    eprint={2012.00926},

    archivePrefix={arXiv},

    primaryClass={cs.CV}

}

```