GitHub - liangyongshi/city_siren: implicit field of scenes

Citation

If you find our work useful in your research, please cite:

title={City-scale Mapping System with Three-layer Sampling and Panoptic Representation}, accepted by Knoeledge-Based System


## Contact
If you have any questions, please feel free to email the authors.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
ChamferDistancePytorch		ChamferDistancePytorch
__pycache__		__pycache__
experiment_scripts		experiment_scripts
lib		lib
torchmeta		torchmeta
LICENSE		LICENSE
README.md		README.md
dataio.py		dataio.py
dataset.py		dataset.py
diff_operators.py		diff_operators.py
environment.yaml		environment.yaml
environment.yml		environment.yml
eval_dataio.py		eval_dataio.py
evaluation.py		evaluation.py
evaluation_readme.md		evaluation_readme.md
explore_siren.ipynb		explore_siren.ipynb
loss_functions.py		loss_functions.py
make_figures.py		make_figures.py
meta_modules.py		meta_modules.py
modify_points.py		modify_points.py
modules.py		modules.py
sdf_meshing.py		sdf_meshing.py
sdf_meshing_nocolor.py		sdf_meshing_nocolor.py
sdf_plot_right.py		sdf_plot_right.py
semantic-kitti.yaml		semantic-kitti.yaml
test_encoder.py		test_encoder.py
test_savecar.py		test_savecar.py
test_sdf.py		test_sdf.py
train_mul.py		train_mul.py
training.py		training.py
unet.py		unet.py
utils.py		utils.py
utils_eval.py		utils_eval.py