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* Update README.md

Co-authored-by: Ethan Weber <ethanweber@berkeley.edu>
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Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs.
The library supports a **more interpretable implementation of NeRFs by modularizing each component.**
With more modular NeRFs, we hope to create a more user-friendly experience in exploring the technology.
Nerfstudio is a contributer friendly repo with the goal of buiding a community where users can more easily build upon each other's contributions.
Nerfstudio is a contributor-friendly repo with the goal of building a community where users can more easily build upon each other's contributions.
It’s as simple as plug and play with nerfstudio!
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# Quickstart
The quickstart will help you get started with the default vanilla nerf trained on the classic blender lego scene.
For more complex changes (e.g. running with your own data/setting up a new NeRF graph, please refer to our [references](#learn-more).
The quickstart will help you get started with the default vanilla NeRF trained on the classic Blender Lego scene.
For more complex changes (e.g., running with your own data/setting up a new NeRF graph, please refer to our [references](#learn-more).
## 1. Installation: Setup the environment
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## 3. Training a model
To run with all the defaults, e.g. vanilla nerf method with the blender lego image
To run with all the defaults, e.g., vanilla NeRF method with the Blender Lego image
```bash
# To see what models are available.
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# Run with nerfacto model.
ns-train nerfacto
# We provide support for other models. E.g. to run instant-ngp.
# We provide support for other models. E.g., to run instant-ngp.
ns-train instant-ngp
# To train on your custom data.
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ssh -L localhost:7008:localhost:7008 {REMOTE HOST}
```
For more details on how to interact with the visualizer, please visit our viewer [walk-through]().
For more details on how to interact with the visualizer, please visit our viewer [walk-through](https://docs.nerf.studio/en/latest/quickstart/viewer_quickstart.html).
## 4. Rendering a trajectory during inference
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| 💖 **Community** |
| [Discord](https://discord.gg/NHGtYRAW) | Join our community to discuss more. We would love to hear from you! |
| [Twitter](https://twitter.com/nerfstudioteam) | Follow us on Twitter @nerfstudioteam to see cool updates and announcements |
| [TikTok](#) | Comming soon! Follow us on TikTok to see some of our fan favorite results |
| [TikTok](#) | Coming soon! Follow us on TikTok to see some of our fan favorite results |
# Supported Features
We provide the following support strucutures to make life easier for getting started with NeRFs. For a full description, please refer to our [features page](#).
We provide the following support structures to make life easier for getting started with NeRFs. For a full description, please refer to our [features page](#).
**If you are looking for a feature that is not currently supported, please do not hesitate to contact the Nerfstudio Team on [Discord](https://discord.gg/NHGtYRAW)!**
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# Citation
If you use this library or find the doumentation useful for your research, please consider citing:
If you use this library or find the documentation useful for your research, please consider citing:
```
@misc{nerfstudio,