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Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

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Hi, thanks for making this code available, it works very well. I am looking to port the rendering code into a game engine, can you please explain how the rendering...

when there are many training images such as in large scene, most of the VRAM are used to store training data, use --data_on_cpu can help reduce VRAM and make it...

I get the following error upon running "cmake -Bbuild ." while trying to install SIBR: ``` CMake Error at cmake/linux/dependencies.cmake:248 (find_package): Could not find a configuration file for package "OpenCV"...

Hi, datasets I am testing do not align well in colmap, I'm looking to see if there is a way to use an alternative such as Metashape or Reality Capture....

I was trying to run: conda env create --file environment.yml, but it continuously failed. Here is the message from Conda: Channels: - pytorch - conda-forge - defaults Platform: win-64 Collecting...

I tried to install submodules by `(gaussian_splatting) root@interactive79467:~/gaussian-splatting/submodules/diff-gaussian-rasterization# pip install .` and it returns ```bash Processing /root/gaussian-splatting/submodules/diff-gaussian-rasterization Preparing metadata (setup.py) ... done Building wheels for collected packages: diff_gaussian_rasterization Building wheel...

# pip install submodules/simple-knn/ # Then errors occur: Processing ./submodules/simple-knn Preparing metadata (setup.py) ... done Building wheels for collected packages: simple-knn Building wheel for simple-knn (setup.py) ... error error: subprocess-exited-with-error...

At the same env,code could run with 3090, but when using Tesla V100 32g File "***/gaussian-splatting/scene/gaussian_model.py", line 134, in create_from_pcd dist2 = torch.clamp_min(distCUDA2(torch.from_numpy(np.asarray(pcd.points)).float().cuda()), 0.0000001) MemoryError: std::bad_alloc: cudaErrorMemoryAllocation: out of memory...

1. Support for RGBD input and Mask output. 2. Support for batch mode rendering, primarily used during training. 3. A high-quality, simple and standalone viewer that also supports non-CUDA and...

Hi: I have a video file that is about ten seconds long. After splitting it using ffmpeg, I'm trying to use convert.py, but I keep getting errors related to the...