DSS
Differentiable Surface Splatting
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Download Latest Version (.zip)- default.yaml
- dss.yml
- __init__.py
- camera.py
- cloud.py
- lighting.py
- rasterizer.py
- renderer.py
- texture.py
- bitmask.cuh
- cuda_utils.h
- ext.cpp
- macros.hpp
- rasterization_utils.cuh
- rasterize_points.cu
- rasterize_points.h
- rasterize_points_backward.cu
- rasterize_points_cpu.cpp
- types.hpp
- weighted_sum.cu
- weighted_sum.h
- __init__.py
- aligned_dataset.py
- base_dataset.py
- single_dataset.py
- __init__.py
- base_model.py
- networks.py
- pix2pix_model.py
- template_model.py
- test_model.py
- base_options.py
- test_options.py
- __init__.py
- html.py
- util.py
- .gitignore
- __init__.py
- checkpoints.py
- imageFilters.py
- visualize.py
- __init__.py
- common.py
- point_modeling.py
- base_options.py
- deformation_options.py
- filter_options.py
- finetune_options.py
- render_options.py
- losses.py
- scheduler.py
- trainer.py
- __init__.py
- dataset.py
- io.py
- mathHelper.py
- matrixConstruction.py
- sampler.py
- __init__.py
- logger.py
- yoga6.ply
- a72-seated_jew_aligned_pca.ply
- A9-vulcan_aligned_pca.ply
- asklepios_aligned_pca.ply
- baron_seutin_aligned_pca.ply
- charite_-_CleanUp_-_LowPoly_aligned_pca.ply
- cheval_terracotta_-_LowPoly-RealOne_aligned_pca.ply
- cupid_aligned_pca.ply
- dame_assise_-_CleanUp_-_LowPoly_aligned_pca.ply
- drunkard_-_CleanUp_-_LowPoly_aligned_pca.ply
- Gramme_aligned_pca.ply
- madeleine_aligned_pca.ply
- retheur_-_LowPoly_aligned_pca.ply
- saint_lambert_aligned_pca.ply
- a72-seated_jew_aligned_pca.ply
- A9-vulcan_aligned_pca.ply
- asklepios_aligned_pca.ply
- baron_seutin_aligned_pca.ply
- charite_-_CleanUp_-_LowPoly_aligned_pca.ply
- cheval_terracotta_-_LowPoly-RealOne_aligned_pca.ply
- cupid_aligned_pca.ply
- dame_assise_-_CleanUp_-_LowPoly_aligned_pca.ply
- drunkard_-_CleanUp_-_LowPoly_aligned_pca.ply
- Gramme_aligned_pca.ply
- madeleine_aligned_pca.ply
- retheur_-_LowPoly_aligned_pca.ply
- saint_lambert_aligned_pca.ply
- a72-seated_jew_aligned_pca.ply
- armadillo_aligned_pca.ply
- bunny-8000.ply
- cube_20k.ply
- grid32.ply
- Kangaroo_V10k.ply
- Kangaroo_V10k_nc.ply
- Koala_V10k.ply
- Koala_V10k_nc.ply
- point-one.ply
- sphere_2k.ply
- sphere_300.ply
- sphere_normal_dense.ply
- teapot_clean.ply
- teapot_normal_dense.ply
- yoga1_out.ply
- yoga6_out.ply
- FRNN
- prefix_sum
- torch-batch-svd
- 2D_teapot.gif
- armadillo_2_all.png
- seated_all.png
- teapot_2D.gif
- teapot_3D.gif
- teapot_sequence.gif
- teaser.png
- video-thumb.png
- yoga6-1.gif
- yoga6.gif
- create_mvr_data_from_mesh.py
- evaluatePointClouds.py
- pcl2Mesh.py
- poisson_sampling.mlx
- poisson_sampling_pca.mlx
- random_displacement.mlx
- run_meshlab_filter.sh
- download_data.sh
- .gitignore
- .gitmodules
- common.py
- config.py
- environment.yml
- learn_image_filter.py
- README.md
- requirements.txt
- sequences.py
- setup.py
- test_opendr.py
- train_mvr.py
# Installation Guide
1. Get the code
git clone https://github.com/yifita/DSS
Downloads the entire project code from GitHub to your computer.
cd DSS
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install "git+https://github.com/mmolero/pypoisson.git"
Installs the package published on PyPI directly β no need to clone the source.
pip install .
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
pip install "git+https://github.com/mmolero/pypoisson.git"
Installs the package published on PyPI directly β no need to clone the source.
pip install .
Installs the package published on PyPI directly β no need to clone the source.
pip install -e .
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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