387-u-red-unsupervised-3d-shape-retrieval-and-deformation-for-partial-point-clouds

https://github.com/szu-advtech-2024/387-u-red-unsupervised-3d-shape-retrieval-and-deformation-for-partial-point-clouds

Science Score: 31.0%

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Repository

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Host: GitHub
Owner: SZU-AdvTech-2024
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Created over 1 year ago · Last pushed over 1 year ago

Metadata Files

Citation

https://github.com/SZU-AdvTech-2024/387-U-RED-Unsupervised-3D-Shape-Retrieval-and-Deformation-for-Partial-Point-Clouds/blob/main/

## Data download and preprocessing details
Please follow [joint_learning_retrieval_deformation](https://github.com/mikacuy/joint_learning_retrieval_deformation) to prepare the dataset and reorder the directory like:
```
your_base_dir/
    data_aabb_all_models/
    data_aabb_constraints_keypoint/
    dis_mat/
    generated_datasplits/
    partnet_rgb_masks_chair/
    partnet_rgb_masks_storagefurniture/
    partnet_rgb_masks_table/
```

## Setup
```
pip install -r requirements.txt
```


## Configs
Modify the config files in folder 'config'. Complete the value occupied by 'xxx' including "base_dir" and "log_path" in training config and "dm_model_path", "re_model_path", "base_dir" and "log_path" in testing config. During testing phase, keep "dm_model_path" and "re_model_path" exactly the same as the trained model. If you want to change the category, just fix "category" into "storagefurniture" or "table".

## Train
```
CUDA_VISIBLE_DEVICES=0 python engine/train.py config/config_train_chair.json
```

## Test
```
CUDA_VISIBLE_DEVICES=0 python engine/test.py config/config_test_chair.json
```

## Visualization
```
CUDA_VISIBLE_DEVICES=0 python engine/vis.py config/config_vis_chair.json
```

Owner

Name: SZU-AdvTech-2024
Login: SZU-AdvTech-2024
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2024

Citation (citation.txt)

@inproceedings{REPO387,
    author = "Di, Yan and Zhang, Chenyangguang and Zhang, Ruida and Manhardt, Fabian and Su, Yongzhi and Rambach, Jason and Stricker, Didier and Ji, Xiangyang and Tombari, Federico",
    booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)",
    month = "October",
    pages = "8884-8895",
    title = "{U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds}",
    year = "2023"
}

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