UniqAI/gaussian-splatting
1
0
Fork 0
mirror of https://github.com/graphdeco-inria/gaussian-splatting synced 2024-11-22 08:18:17 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

link fix:

Browse Source
This commit is contained in:
bkerbl 2023-07-04 19:01:30 +02:00
parent 1746f0fdbe
commit 056115308d
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -3,7 +3,7 @@ Bernhard Kerbl*, Georgios Kopanas*, Thomas Leimkühler, George Drettakis (* indi
| [Webpage](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/) | [Full Paper](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/3d_gaussian_splatting_high.pdf) |
[Video](https://youtu.be/T_kXY43VZnk) | [Other GRAPHDECO Publications](http://www-sop.inria.fr/reves/publis/gdindex.php) | [FUNGRAPH project page](https://fungraph.inria.fr)
[Input Datasets](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/datasets/input/tandt+db.zip) | [Pre-trained Models TODO](TODO)| [Evaluation Renderings TODO](TODO)| <br>
[T&T+DB Datasets](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/datasets/input/tandt_db.zip) | [Pre-trained Models TODO](TODO)| [Evaluation Renderings TODO](TODO)| <br>
![Teaser image](assets/teaser.png)
This repository contains the code associated with the paper "3D Gaussian Splatting for Real-Time Radiance Field Rendering", which can be found [here](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/). We further provide the reference images used to create the error metrics reported in the paper, as well as recently created, pre-trained models.
@ -129,13 +129,14 @@ The Network Viewer can be used to observe the training process and watch the mod
- C++ Compiler (Visual Studio 2019 for Windows)
- CUDA 11 Developer SDK (we used 11.8)
- CMake (recent version, we used 3.24)
- 7zip (Windows)
### Setup
If you cloned with submodules (e.g., using ```--recursive```), the source code for the viewers is found in ```SIBR_viewers_(windows|linux)``` (choose whichever fits your OS). The network viewer runs within the SIBR framework for Image-based Rendering applications.
#### Windows
On Windows, CMake should take care of your dependencies
On Windows, CMake should take care of your dependencies.
```shell
cd SIBR_viewers_windows
cmake -Bbuild .
@ -181,6 +182,7 @@ The Real-Time Viewer can be used to render trained models with real-time frame r
- C++ Compiler (Visual Studio 2019 for Windows)
- CUDA 11 Developer SDK
- CMake (recent version)
- 7zip (Windows)
### Setup