From 553416ac15d6af227317e39a90023919dec58db8 Mon Sep 17 00:00:00 2001
From: MrForExample <62230687+MrForExample@users.noreply.github.com>
Date: Mon, 22 Jan 2024 22:00:36 +0100
Subject: [PATCH] Update README.md

---
 README.md | 49 +++++++++++++++++++++++++++----------------------
 1 file changed, 27 insertions(+), 22 deletions(-)

diff --git a/README.md b/README.md
index 6e4c31e..0cce225 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ ps: I'll show some generated result soon
   - I tried install this package with ComfyUI embed python env first, but I can't find a way to build CUDA related libraries, e.g. diff-gaussian-rasterization, nvdiffrast, simple-knn.
 - Torch version: 2.1.2+cu121/V.2.1.2+cu118
 
-### Install:
+## Install:
 
 Assume you have already downloaded [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
 
@@ -41,27 +41,28 @@ cd C:\Users\reall\Softwares\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyU
 install.bat
 ```
 
-Just in case `install.bat` may not working in your PC, you could also run the following commands under this package's root directory:
-```bash
-# First make sure the Conda env: python_miniconda_env\ComfyUI is activated, then go to Go to ComfyUI Root Directory\ComfyUI\custom_nodes\ComfyUI-3D-Pack and:
-pip install -r requirements.txt
+- ***Install Plan B:***
 
-git clone --recursive https://github.com/ashawkey/diff-gaussian-rasterization
-pip install ./diff-gaussian-rasterization
+    Just in case `install.bat` may not working in your PC, you could also run the following commands under this package's root directory:
 
-pip install ./simple-knn
+    ```bash
+    # First make sure the Conda env: python_miniconda_env\ComfyUI is activated, then go to Go to ComfyUI Root Directory\ComfyUI\custom_nodes\ComfyUI-3D-Pack and:
+    pip install -r requirements.txt
 
-git clone --recursive https://github.com/NVlabs/nvdiffrast/`
-pip install ./nvdiffrast
-```
+    git clone --recursive https://github.com/ashawkey/diff-gaussian-rasterization
+    pip install ./diff-gaussian-rasterization
 
-### Run:
+    pip install ./simple-knn
+
+    git clone --recursive https://github.com/NVlabs/nvdiffrast/`
+    pip install ./nvdiffrast
+    ```
+
+## Run:
 Copy the files inside folder [__New_ComfyUI_Bats](./_New_ComfyUI_Bats/) to your ComfyUI root directory, and double click run_nvidia_gpu_miniconda.bat to start ComfyUI!
 - Alternatively you can just activate the Conda env: python_miniconda_env\ComfyUI, and go to your ComfyUI root directory then run command `python ./ComfyUI/main.py`
 
----
-
-### Currently support:
+## Currently support:
 - For use case please check [example workflows](./_Example_Workflows/)
   - **Note:** you need to put [Example Inputs Files & Folders](_Example_Workflows/_Example_Inputs_Files/) under ComfyUI Root Directory\ComfyUI\input folder before you can run the example workflow
 - Stack Orbit Camera Poses node to automatically generate all range of camera pose combinations
@@ -88,15 +89,19 @@ Copy the files inside folder [__New_ComfyUI_Bats](./_New_ComfyUI_Bats/) to your
   - Allow convert 3DGS .ply file to 3D mesh <br>
   *Note: I didn't spent time to turn the hyperprameters yet, the result will be improved in the future!*
 
-### To-Do Next:
-- Add interactive 3D UI inside ComfuUI to visulaize training and generated results for 3D representations
-- ~~Add DMTet algorithm to allow convertion from points cloud(Gaussian/.ply) to mesh (.obj, .ply, .glb)~~
-- Improve DMTet result & add support to training it with images(RGB, Alpha, Normal Map)
-- Add a general SDS/VSD Optimization algorithm to allow training 3D representations with diffusion model, *The real fun begins here* ;) 
-- Add a few best Nerf algorithms (No idea yet, [instant-ngp](https://github.com/NVlabs/instant-ngp) maybe?)
+## Roadmap:
+- [x] Add DMTet algorithm to allow convertion from points cloud(Gaussian/.ply) to mesh (.obj, .ply, .glb)
 
+- [ ] Integrate [Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers](https://github.com/VAST-AI-Research/TriplaneGaussian)
+
+- [ ] Add interactive 3D UI inside ComfuUI to visulaize training and generated results for 3D representations
+
+- [ ] Improve DMTet result & add support to training it with images(RGB, Alpha, Normal Map)
+
+- [ ] Add a general SDS/VSD Optimization algorithm to allow training 3D representations with diffusion model, *The real fun begins here* ;)
+
+- [ ] Add a few best Nerf algorithms (No idea yet, [instant-ngp](https://github.com/NVlabs/instant-ngp) maybe?)
 
----
 
 ## Tips
 * The world & camera coordinate system is the same as OpenGL: