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License: Apache License 2.0
Python 40.61%
CMake 0.79%
Makefile 2.41%
C++ 3.00%
Cuda 20.82%
C 32.37%
sa-gs's Introduction
๐ธ I'm Jv Zheng
๐ Iโm currently a graduate student in Ocean University of China
๐
Iโm currently interested in 3D Vision
๐ต Iโm an enthusiast of data science
๐ This is my CV site .
๐ฅ 2021 URPCๆฐดไธๅ
ๅญฆ็ฎๆ ๆฃๆตๅบ็จ่ต 4/914
๐ฅ 2021 2021 MICCAI Mitotic Detection Challenge 6th
๐ฅ 2022 Wechat Big Data challenge 27/3204
๐ฅ 2022 kaggle Feedback Prize - English Language Learning 55/2654
๐ฅ 2023 GAIIC ๅคง่งๆจกๆฐ่ง่งๆธฒๆ 8/56
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sa-gs's Issues
The environment installation command should be "conda env create -f environment.yml"
Can I use the same viewer as the original Gaussian paper?
do not have the argument "--data_type"
from . import _C
ImportError: ./SA-GS/env/lib64/python3.8/site-packages/diff_gaussian_rasterization_new/_C.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZNK2at6Tensor7optionsEv
Thank you for sharing your great job! I have read your paper and notice that you follow Mip-Splatting setup but nearly all your results including 3DGS and Mip-Splatting on Mip-NeRF 360 is better than results in Mip-Splatting paper. Can you give me some clues about this difference?