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

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Added target data dtype as command argument --data_dtype float16 or --data_dtype float32 This data dtype affects only how the original images are stored in memory, as these occupy the most...

when i run ' cmake --build build -j24 --target install' ,something wrong happens: ubuntu:20.04 opencv:4.5.5 /usr/bin/ld: /home/iiau/miniconda3/envs/sibr/lib/libopencv_core.so.4.6.0: undefined reference to `std::condition_variable::wait(std::unique_lock&)@GLIBCXX_3.4.30' /usr/bin/ld: /home/iiau/miniconda3/envs/sibr/lib/libavcodec.so.59: undefined reference to `vaSyncBuffer' /usr/bin/ld: /home/iiau/miniconda3/envs/sibr/lib/libQt5Core.so.5: undefined...

I have a question about the camera model of the data: is cameras.bin where the gaussian_splatting model reads the model from? I have a cameras.bin file that I believe specifies...

Why is simple-knn no longer available `Cloning into '/data/gaussian-splatting/submodules/simple-knn'... fatal: unable to access 'https://gitlab.inria.fr/bkerbl/simple-knn.git/': Failed to connect to gitlab.inria.fr port 443 after 129671 ms: Connection timed out fatal: clone of...

Hi, thanks for your excellent work. I noticed that the code computes the weighted average of the inverse depths of all Gaussians to get the rendered inverse depth value. https://github.com/graphdeco-inria/diff-gaussian-rasterization/blob/9c5c2028f6fbee2be239bc4c9421ff894fe4fbe0/cuda_rasterizer/forward.cu#L374-L375...

I'm on Ubuntu 24.10 and the installation of everything and the conda environment with its dependencies went without problems. I have a lot of images extracted from a video with...

Q1I want to know how the code draws Ellipsoids? Q2I guess this is a drawn two-dimensional ellipse Instead of an ellipsoid, Because Gaussian distribution is a probability density function, the...

(base) C:\Users\Administrator\gaussian-splatting>conda env create --file environment.yml Channels: - pytorch - conda-forge - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done Downloading and Extracting Packages: Preparing transaction: done...

I may be missing something trivial, but is there a way I can get the loss/iteration data after training? The train function does not return anything and I cannot find...

I first performed convert.py processing on the data set with images to get the pre-processed data set, and then directly trained the processed data set with train.py.Then This error occurred:...