readme

README.md

+## Point Based Neural Rendering with Per-View Optimization
+Georgios Kopanas, Julien Phillip, Thomas Leimkhuler, George Drettakis<br>
+[Full Paper](http://www-sop.inria.fr/reves/Basilic/2021/KPLD21/KopanasPointBasedNeuralRenderingPerViewOptimization.pdf)<br>
+![Teaser image](./docs/teaser.png)
+
+Abstract: *There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with
+Multi-View Stereo (MVS) but cannot recover from the errors of this process, while others directly learn a volumetric neural
+representation, but suffer from expensive training and inference. We introduce a general approach that is initialized with MVS,
+but allows further optimization of scene properties in the space of input views, including depth and reprojected features, resulting in improved novel-view synthesis. A key element of our approach is our new differentiable point-based pipeline, based
+on bi-directional Elliptical Weighted Average splatting, a probabilistic depth test and effective camera selection. We use these
+elements together in our neural renderer, that outperforms all previous methods both in quality and speed in almost all scenes
+we tested. Our pipeline can be applied to multi-view harmonization and stylization in addition to novel-view synthesis*
+
+## Content
+
+Our implementation consistis of:
+
+1. A python module used for training
+2. A plugin project on-top of [sIBR platform](https://sibr.gitlabpages.inria.fr/?page=index.html) that pre-processes the scene and  renders interactively the results of the training.
+
+## Recommended Setup
+
+* This is tested only in Windows 10 platform
+* A GPU with at least 12GB of memory for small scenes and 24GB for larger scenes, drivers, cuda 10.0 toolkit and cuDNN 7.5
+* Python 3.8 64-bit
+* Anaconda3 virtual environment
+* Cmake at least 3.18.0
+* Visual Studio 2019 Community
+
+## Install sIBR
+
+This is a short step-by-step guide to install sIBR with all the necessary projects. For the full sibr documentation please visit [here](https://sibr.gitlabpages.inria.fr/?page=index.html)
+
+```.bash
+git clone https://gitlab.inria.fr/sibr/sibr_core.git
+cd sibr_core/src/projects/
+git clone https://gitlab.inria.fr/gkopanas/pointbased_neural_rendering.git
+git clone https://gitlab.inria.fr/jphilip/torchgl_interop.git
+cd torchgl_interop
+git checkout origin/pbnr -b pbnr
+```
+
+## Prepared Scenes
+
+## Training a Scene
+
+### Prepare you own scene
+
+### Run Training script
+
+## Running the Interactive Renderer
+