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joeyan
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gaussian_splatting
Unofficial implementation of 3D Gaussian Splatting in PyTorch + CUDA with MIT license
MIT License
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Tests in test_rasterize_autograd run on "empty" images
#21
MarekKowalski
opened
3 weeks ago
0
All Gaussians Removed
#20
Oliverbihop
opened
1 month ago
1
negative value for gaussian.rgb
#19
antonyvan
opened
2 months ago
9
Update readme with new benchmark values
#18
joeyan
closed
2 months ago
0
Use two pass approach for tile culling
#17
joeyan
closed
2 months ago
0
Update Tile Culling Logic
#16
joeyan
closed
2 months ago
0
Add alpha composite math
#15
joeyan
closed
2 months ago
0
Add new comparisons to README
#14
joeyan
closed
2 months ago
0
Use torch for train image index selection
#13
joeyan
closed
2 months ago
0
Add background color options to fix depth holes
#12
joeyan
closed
2 months ago
0
Add depth rendering
#11
joeyan
closed
2 months ago
0
Use tyro + dataclass for config management
#10
joeyan
closed
2 months ago
0
pip install -e ./ fails due to missing torch dependency
#9
joeyan
opened
2 months ago
0
Split functionality out of Trainer to OptimizerManager + cleanup
#8
joeyan
closed
2 months ago
0
Fast and approximate SH Coeff to RGB
#7
joeyan
closed
2 months ago
0
Use separate LR for SH Coeff and RGB
#6
joeyan
closed
2 months ago
0
Use matrix representation of conic to represent 2d covariance
#5
joeyan
closed
2 months ago
0
Update linting: Add clang-format and update line width to 100
#4
joeyan
closed
3 months ago
0
Add spherical harmonics
#3
joeyan
closed
3 months ago
0
Speedup splat forwards/backwards by using shared memory
#2
joeyan
closed
3 months ago
0
Cleanup adaptive control and training logic
#1
joeyan
closed
3 months ago
0