hanjoonwon

> > > 1. ns-train neus-facto --pipeline.model.sdf-field.inside-outside False --pipeline.model.background-model mlp --trainer.max-num-iterations 100000 --vis viewer --pipeline.model.sdf-field.bias 0.3 --pipeline.model.num-neus-samples-per-ray 96 sdfstudio-data > > > > > > Hi your mesh quality is...

> Hi, I think it might due to the camera normalization. After using colmap, the pose is normalized to [-1, 1] cube but the real object might not be centered...

> > Hi, these regions correspond to the white table and black background in the input images. Therefore, no correspondence can be found and the optimised surface is kind of...

> For the neus-facto model, you can just use the author's default commands. My result comes from the neus-acc model. Thank you i don't know why my outputs are so...

> Hi, I think the easier way is to align your camera poses with real world scale and then to some transformation accordingly. I' > Hello, where can I find...

Can i ask what parameters were used for training? Currently I don't get a good output like yours, it comes out in a weird shape... +I got better result by...

ns-train neus-facto --help

> You can try to use this algo https://github.com/Jumpat/SegAnyGAussians to seg gaussian point clouds before you use sugar to extract mesh. thanks i'll try it is it can be used...

> Hi I got the following error when installing the viewer. > > ERR! Linux 5.15.0-87-generic npm ERR! argv "/home/wexuan/miniconda3/envs/sugar/bin/node" "/home/wexuan/miniconda3/envs/sugar/bin/npm" "install" npm ERR! node v6.13.1 npm ERR! npm v3.10.10...

> (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...