PhyScene
Code implementation of CVPR 2024 highlight paper "PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI"
File Explorer
Download Latest Version (.zip)- chamfer2D.cu
- chamfer_cuda.cpp
- dist_chamfer_2D.py
- setup.py
- .ninja_deps
- .ninja_log
- build.ninja
- chamfer3D.o
- chamfer_cuda.o
- dependency_links.txt
- PKG-INFO
- SOURCES.txt
- top_level.txt
- chamfer_3D-0.0.0-py3.8-linux-x86_64.egg
- chamfer3D.cu
- chamfer_cuda.cpp
- dist_chamfer_3D.py
- setup.py
- chamfer5D.cu
- chamfer_cuda.cpp
- dist_chamfer_5D.py
- setup.py
- chamfer_python.py
- fscore.py
- LICENSE
- README.md
- unit_test.py
- bed_living_diningrooms.yaml
- bed_living_diningrooms_lat32.yaml
- bedrooms.yaml
- diningrooms.yaml
- livingrooms.yaml
- bedroom_threed_front_splits.csv
- black_list.txt
- diningroom_threed_front_splits.csv
- gapartnet.yaml
- invalid_threed_front_rooms.txt
- library_threed_front_splits.csv
- livingroom_threed_front_splits.csv
- bed_living_diningrooms.yaml
- bed_living_diningrooms_lat32.yaml
- collision.yaml
- scene_bedroom.yaml
- scene_diningroom.yaml
- scene_livingroom.yaml
- topdown.yaml
- autoencoder.yaml
- default.yaml
- pickle_data.yaml
- preprocess_data.yaml
- GPN_good_idx.json
- add_cover.py
- check_miss_file.py
- extrac_files.py
- extract_doors.py
- get_good_idx.py
- texture_0.jpg
- __init__.py
- base.py
- common.py
- gapartnet_dataset.py
- retrieve_by_latent.py
- splits_builder.py
- threed_front.py
- threed_front_dataset.py
- threed_front_scene.py
- threed_future_dataset.py
- utils.py
- utils_io.py
- utils_text.py
- floor_00001.jpg
- floor_00002.jpg
- floor_00003.jpg
- floor_00004.jpg
- floor_00005.jpg
- floor_00006.jpg
- floor_00007.jpg
- bounds.npz
- gif.gif
- layout.png
- teaser.png
- box_intersection_2d.py
- min_enclosing_box.py
- oriented_iou_loss.py
- __init__.py
- denoise_net.py
- diffusion_ddpm.py
- diffusion_scene_layout_ddpm.py
- feature_extractors.py
- foldingnet_autoencoder.py
- frozen_batchnorm.py
- loss.py
- collision.py
- optimizer.py
- base.py
- stats_logger.py
- objautoencoder.sh
- pickle_3dfuture_dataset.sh
- pickle_pcd.sh
- preprocess_data.sh
- test_bedroom.sh
- test_livingroom.sh
- test_livingroom_gen_image.sh
- test_procthor_bbox.sh
- __init__.py
- calc_ckl.py
- compute_fid_scores.py
- synthetic_vs_real_classifier.py
- walkable_map_visual.py
- walkable_metric.py
- generate_3dfront.py
- generate_bbox.py
- generate_objautoencoder.py
- generate_procthor.py
- visual_results.py
- pickle_gapartnet_pointcloud.py
- pickle_threed_future_dataset.py
- pickle_threed_future_pointcloud.py
- preprocess_data.py
- preprocess_data_prothor.py
- __init__.py
- __init__.py
- io.py
- open3d_vis_utils.py
- overlap.py
- plot.py
- plotly_utils.py
- registry.py
- rot6d.py
- smplx_utils.py
- transformation.py
- utils.py
- utils_preprocess.py
- visualize.py
- .gitignore
- DATA.md
- INSTALL.md
- Procthor.md
- README.md
- requirements.txt
# Installation Guide
1. Get the code
git clone https://github.com/PhyScene/PhyScene
Downloads the entire project code from GitHub to your computer.
cd PhyScene
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python <μ€νν νμΌλͺ
>.py # READMEμμ μ νν μ€ν νμΌλͺ
μ νμΈνμΈμ
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
Was this content helpful?
(0 ratings)
