36 lines
1.1 KiB
Markdown
36 lines
1.1 KiB
Markdown
# 4D Gaussian Splatting
|
|
The viewer is downloads from [3D-GS](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/binaries/viewers.zip), you can extract the zip file under the folder of 4D-GS like:
|
|
```
|
|
├── 4DGaussians
|
|
| |viewers
|
|
| ├── bin
|
|
| ├── resources
|
|
| ├── shaders
|
|
| |...
|
|
| | train.py
|
|
| | test.py
|
|
| | ...(other files)
|
|
```
|
|
## How to use viewer?
|
|
If you train the 4D-GS on locally:
|
|
```python
|
|
./viewers/bin/SIBR_remoteGaussian_app.exe --port 6017 # port should be same with your trainging code.
|
|
```
|
|
If you train the 4D-GS on the server, you should add a port forward, in VSCode, like this:
|
|
|
|
Then you could clone this repo on your personal computer, and download a D-NeRF dataset, like this:
|
|
```
|
|
├── 4DGaussians
|
|
| |viewers
|
|
| ├── bin
|
|
| ├── resources
|
|
| ├── shaders
|
|
| |...
|
|
│ | data
|
|
│ ├── dnerf
|
|
| | train.py
|
|
| | test.py
|
|
| | ...(other files)
|
|
```
|
|
And the rendering speed may mainly depends on your network bandwidth.
|