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@@ -3,7 +3,7 @@ Bernhard Kerbl*, Georgios Kopanas*, Thomas Leimkühler, George Drettakis (* indi
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| [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) |
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| [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) |
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[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)
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[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)
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-[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>
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+[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>
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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.
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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.
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@@ -129,13 +129,14 @@ The Network Viewer can be used to observe the training process and watch the mod
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- C++ Compiler (Visual Studio 2019 for Windows)
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- C++ Compiler (Visual Studio 2019 for Windows)
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- CUDA 11 Developer SDK (we used 11.8)
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- CUDA 11 Developer SDK (we used 11.8)
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- CMake (recent version, we used 3.24)
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- CMake (recent version, we used 3.24)
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+- 7zip (Windows)
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### Setup
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### Setup
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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.
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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.
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#### Windows
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#### Windows
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-On Windows, CMake should take care of your dependencies
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+On Windows, CMake should take care of your dependencies.
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```shell
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```shell
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cd SIBR_viewers_windows
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cd SIBR_viewers_windows
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cmake -Bbuild .
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cmake -Bbuild .
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@@ -181,6 +182,7 @@ The Real-Time Viewer can be used to render trained models with real-time frame r
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- C++ Compiler (Visual Studio 2019 for Windows)
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- C++ Compiler (Visual Studio 2019 for Windows)
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- CUDA 11 Developer SDK
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- CUDA 11 Developer SDK
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- CMake (recent version)
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- CMake (recent version)
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+- 7zip (Windows)
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### Setup
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### Setup
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bkerbl