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Volume / NeRF notebook links in README.md

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Summary: Adds links to notebooks implementing the Volume / NeRF fitting.

Reviewed By: gkioxari

Differential Revision: D25849756

fbshipit-source-id: 05d7d40589a8559c9bcc43e0d2e22c49f5a92dfd
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David Novotny 2021-01-11 04:10:57 -08:00 committed by Facebook GitHub Bot
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@ -51,6 +51,13 @@ Get started with PyTorch3D by trying one of the tutorial notebooks.
|:------------------------------------------------------------:|:--------------------------------------------------:|
| [Render DensePose data](https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/render_densepose.ipynb)| [Load & Render ShapeNet data](https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/dataloaders_ShapeNetCore_R2N2.ipynb)|
| <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/.github/fit_textured_volume.gif" width="310"/> | <img src="https://raw.githubusercontent.com/facebookresearch/pytorch3d/master/.github/fit_nerf.gif" width="310" height="310"/>
|:------------------------------------------------------------:|:--------------------------------------------------:|
| [Fit Textured Volume](https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/fit_textured_volume.ipynb)| [Fit A Simple Neural Radiance Field](https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/fit_simple_neural_radiance_field.ipynb)|
## Documentation
Learn more about the API by reading the PyTorch3D [documentation](https://pytorch3d.readthedocs.org/).