index doc

docs/source/index.rst

-NeRFacc Documentation
+NerfAcc Documentation
 ===================================
 
-NeRFacc is a PyTorch NeRF acceleration toolbox for both training and inference. 
+NerfAcc is a PyTorch NeRF acceleration toolbox for both training and inference. 
 
-.. note::
+Using NerfAcc, 
 
-   This project is under active development.
+- The `vanilla Nerf model`_ with 8-layer MLPs can be trained in **45 minutes** \
+  rather than **1~2 days** as in the paper.
+- The `instant-ngp Nerf model`_ can be trained to **better quality** (+~1.0 PNSR) \
+  in **5 minutes** compare to the paper, and all the training code is in **Python**.
+- The `D-Nerf model`_ for **dynamic** objects can also be trained in **45 minutes** \
+  rather than **2 days** as in the paper, and with **better quality** (+~2.0 PSNR).
+- **Unbounded scenes** from `MipNerf360`_ can be trained in \
+  **~1 hour** and get comparable quality to the paper.
+
+And it is pure python interface with flexible apis for any customized Nerf models!
+
+Note:
+   This repo is focusing on the single scene situation. Generalizable Nerfs across \
+   multiple scenes is currently out of the scope of this repo. But you may still find
+   some useful tricks in this repo. :)
 
 Installation:
 -------------
@@ -33,3 +47,10 @@ Installation:
    :caption: Projects
 
    NeRFactory <https://plenoptix-nerfactory.readthedocs-hosted.com/>
+
+
+.. _`vanilla NeRF model`: https://arxiv.org/abs/2003.08934
+.. _`instant-ngp NeRF model`: https://arxiv.org/abs/2103.13497
+.. _`D-Nerf model`: https://arxiv.org/abs/2104.00677
+.. _`MipNerf360`: https://arxiv.org/abs/2111.12077
+.. _`pixel-Nerf`: https://arxiv.org/abs/2012.02190
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