# black0017/3D-GAN-pytorch

<https://repo.masters-masters.com/en/repos/black0017/3D-GAN-pytorch>

[Home](https://repo.masters-masters.com/en) › [black0017](https://repo.masters-masters.com/en/owners/black0017) › [3D-GAN-pytorch](https://repo.masters-masters.com/en/repos/black0017/3D-GAN-pytorch)

black0017/3D-GAN-pytorch has 167 stars on GitHub. Its RepoMasters card: Prototype tier. Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a…

| Field | Value |
| --- | --- |
| Owner | [black0017](https://repo.masters-masters.com/en/owners/black0017) |
| Stars | 167 |
| Forks | 25 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [black0017/3D-GAN-pytorch](https://github.com/black0017/3D-GAN-pytorch) |

## Repository

Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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