Update installation guide for Windows (tcnn+gsplat)

docs/quickstart/installation.md

@@ -14,6 +14,8 @@ Install [Git](https://git-scm.com/downloads).
 
 Install Visual Studio 2022. This must be done before installing CUDA. The necessary components are included in the `Desktop Development with C++` workflow (also called `C++ Build Tools` in the BuildTools edition).
 
+Install Visual Studio Build Tools. If MSVC 143 does not work (usually will fail if your version > 17.10), you may also need to install MSVC 142 for Visual Studio 2019. Ensure your CUDA environment is set up properly.
+
 Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.
 
 :::::
@@ -76,14 +78,56 @@ conda install -c "nvidia/label/cuda-11.7.1" cuda-toolkit
 :::
 ::::
 
-### tiny-cuda-nn
+### Installing tinycudann/gsplat
 
-After pytorch and ninja, install the torch bindings for tiny-cuda-nn:
+::::::{tab-set}
+:::::{tab-item} Linux
 
+After pytorch and ninja, install the torch bindings for tiny-cuda-nn:
+@@ -84,6 +85,46 @@ After pytorch and ninja, install the torch bindings for tiny-cuda-nn:
 ```bash
 pip install ninja git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
 ```
 
+:::::
+:::::{tab-item} Windows
+
+Activate your Visual C++ environment:
+Navigate to the directory where `vcvars64.bat` is located. This path might vary depending on your installation. A common path is:
+
+```
+C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Auxiliary\Build
+```
+
+Run the following command:
+```bash
+./vcvars64.bat
+```
+
+If the above command does not work, try activating an older version of VC:
+```bash
+./vcvarsall.bat x64 -vcvars_ver=<your_VC++_compiler_toolset_version>
+```
+Replace `<your_VC++_compiler_toolset_version>` with the version of your VC++ compiler toolset. The version number should appear in the same folder.
+
+For example:
+```bash
+./vcvarsall.bat x64 -vcvars_ver=14.29
+```
+
+Install `gsplat` from source:
+```bash
+pip install git+https://github.com/nerfstudio-project/gsplat.git
+```
+
+Install the torch bindings for tiny-cuda-nn:
+```bash
+pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
+```
+
+:::::
+::::::
+
 ## Installing nerfstudio
 
 **From pip**