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When I train with sh_degree=0, the training results are much worse when using taming 3dgs' Rasterizer compared to using the original 3DGS Rasterizer. May I ask if this phenomenon is normal?
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I've aligned torch.version.cuda with nvcc and still can't install diff-gaussian-rasterization. Any help?
torch.version.cuda
> '11.8'
nvcc --version
> Cuda compilation tools, release 11.8, …
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## Observed behaviour
When dropping a font file onto the fontbakery.com site and running FB, the following error is immediately reported:
```
Traceback (most recent call last):
File "/lib/pyth…
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Hi, Great work! nd rasterizer is around 10x slower than sh rasterizer. To be precise, my model inference time with sh rasterization is 0.008s which gives me >100FPS as described in the original gaussi…
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Hi!
Thank you for your excellent work! However, I encountered a problem. I can train the model normally using either N031 or my own dataset, but when I perform reenactment, the first time it works fi…
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I'm looking into working on a GL renderer for the parquets.
I see that the Inria repository that has now been released wrote the rasterizer completely in CUDA.
Do you have any plans on working on di…
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Bridge strings are not as clear compared to the software rasterizer.
wg:
gl:
: error: too many initializer values
/root/mip-splatting-jittor/gaussian_renderer/diff_gaussia…
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A user reported a random visual glitch in the middle of playing. They tabbed out to look for …