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

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![image](https://github.com/user-attachments/assets/db9140d6-5e2e-42f5-a14b-8964b61346e1)

Why this [assert](https://github.com/nyu-systems/Grendel-GS/blob/main/utils/camera_utils.py#L27) is needed?: ```python def loadCam(args, id, cam_info, decompressed_image=None, return_image=False): orig_w, orig_h = cam_info.width, cam_info.height assert ( orig_w == utils.get_img_width() and orig_h == utils.get_img_height() ), "All images should...

I have installed diff-gaussian-rasterization and simple-knn under the submodules folder, but I still encounter errors when running Loading Test Cameras [25/08 11:35:05] Number of points at initialisation : 28332 [25/08...

Hi! Thanks for your great work. But I got some issue when compile SIBR like the image below ![image](https://github.com/user-attachments/assets/4e13d810-c7c6-430e-8af1-35435cbb5acd) In folder "extlibs", I download zip of each submodel and then...

Hi! Thanks for your great work But I have some problem when I try to run SIBR_viewers after I installed successfully This error is : (base) vinai@Fisheye2:~/Workspace/phat-intern-dev/VinAI/hierarchical-3d-gaussians$ xvfb-run -a bash...

Hi there, I was rendering the garden scene using the SIBR viewer set to 3840x2160 output resolution and the brick wall in the back of camera position 1 started to...

https://github.com/graphdeco-inria/gaussian-splatting/blob/472689c0dc70417448fb451bf529ae532d32c095/utils/camera_utils.py#L46 `if resized_image_rgb.shape[1] == 4: ` should be `if resized_image_rgb.shape[0] == 4: `, if I do not misunderstand.

I want to train the large scale datasets such as alameda, but it only run on the GPU0 and run out of memory. It did not use my GPU1. How...

I trained in linux and extract output to windows. When I try to use SIBR_gaussianViewer to view it, there is a problem. The blank frame automatically exit after a few...

when I overlap the gt image and the rendered image, I found they are not in the same location. I trained the truck for 10000 iterations, and use rendered.py to...