commit
7d8c116d82
3
.gitmodules
vendored
3
.gitmodules
vendored
@ -4,6 +4,9 @@
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[submodule "submodules/diff-gaussian-rasterization"]
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path = submodules/diff-gaussian-rasterization
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url = https://github.com/graphdeco-inria/diff-gaussian-rasterization
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[submodule "submodules/depth-diff-gaussian-rasterization"]
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path = submodules/depth-diff-gaussian-rasterization
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url = https://github.com/ingra14m/depth-diff-gaussian-rasterization
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[submodule "SIBR_viewers"]
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path = SIBR_viewers
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url = https://gitlab.inria.fr/sibr/sibr_core
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@ -31,13 +31,13 @@ Please follow the [3D-GS](https://github.com/graphdeco-inria/gaussian-splatting)
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```bash
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git clone https://github.com/hustvl/4DGaussians
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cd 4DGaussians
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git submodule update --init --recursive
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conda create -n Gaussians4D python=3.7
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conda activate Gaussians4D
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pip install -r requirements.txt
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cd submodules
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git clone https://github.com/ingra14m/depth-diff-gaussian-rasterization
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pip install -e depth-diff-gaussian-rasterization
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pip install -e submodules/depth-diff-gaussian-rasterization
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pip install -e submodules/simple-knn
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```
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In our environment, we use pytorch=1.13.1+cu116.
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## Data Preparation
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@ -46,7 +46,7 @@ def render(viewpoint_camera, pc : GaussianModel, pipe, bg_color : torch.Tensor,
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sh_degree=pc.active_sh_degree,
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campos=viewpoint_camera.camera_center.cuda(),
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prefiltered=False,
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# debug=pipe.debug
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debug=pipe.debug
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)
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rasterizer = GaussianRasterizer(raster_settings=raster_settings)
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@ -6,3 +6,4 @@ matplotlib
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argparse
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lpips
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plyfile
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imageio-ffmpeg
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1
submodules/simple-knn
Submodule
1
submodules/simple-knn
Submodule
@ -0,0 +1 @@
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Subproject commit 44f764299fa305faf6ec5ebd99939e0508331503
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