SuGaR
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[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Is there anyway to just extract the foreground of your Gaussian Splat? Or can you provide further tips on how to do it? Thanks, I look forward for your response...
Note: Editing since vscode did auto-fork, auto-PR with no comments. I wanted to have all the outputs of SuGaR next to a folder that wouldn't be `./output` within the same...
Is there any parameter can reduce cuda memory , please? "cuda out of memory" for 400+ images on 24G cuda device 3090
Hi, thanks for your great work. I have tested out SuGaR on one of the LERF scene and it worked out nicely! However, I still have two questions: ![截圖 2024-02-23...
Hello, First, thank you for having shared this amazing repository, and being active in responding to issues. That is greatly appreciated! I have a Saxophone capture with 192 images around:...
OOM
I get OOM in that particular section (texturing) when trying to run --high_poly, I disabled Pytorch CUDA memory caching to see if it would mitigate but it doesn't solve it....
File "E:\SuGaR\sugar_scene\sugar_model.py", line 2031, in render_image_gaussian_rasterizer proj_transform[..., 2, 0] = - p3d_camera.K[0, 0, 2] IndexError: too many indices for tensor of dimension 2
This step took a long time, but there was no result  At this time the GPU has been occupied 
coarse density: (the best way to reconstruct surface based on GS, so far. ) one of inputs:  8000 iteations: (from 7000)  [sugarmesh_3Dgs7000_densityestim02_sdfnorm02_level03_decim1000000.zip](https://github.com/Anttwo/SuGaR/files/13727981/sugarmesh_3Dgs7000_densityestim02_sdfnorm02_level03_decim1000000.zip) 15000 iterations: (still no refine step)...
(sugar) khfifi@jensen:~/SuGaR$ python train.py -s /home/khfifi/tryinggauss -c /home/khfifi/gausstomesh -r "sdf" Traceback (most recent call last): File "/home/khfifi/SuGaR/train.py", line 3, in from sugar_trainers.coarse_density import coarse_training_with_density_regularization File "/home/khfifi/SuGaR/sugar_trainers/coarse_density.py", line 7, in from...