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SIZER: A DATASET AND MODEL FOR PARSING 3D CLOTHING AND LEARNING SIZE SENSITIVE 3D CLOTHING

For SIZER Dataset:

https://github.com/garvita-tiwari/sizer_dataset

Code and model for SIZER: A DATASET AND MODEL FOR PARSING 3D CLOTHING AND LEARNING SIZE SENSITIVE 3D CLOTHING, ECCV 2020(Oral)

###SIZER Dataset: https://github.com/garvita-tiwari/sizer_dataset

Data path:

set DATA_DIR='<downloaded dataset path>/training_data' in utils/global_var.py 

Conda Environment:

conda create --name sizer --file requirements.txt
conda activate sizer

Training ParserNet:

python trainer.py --config=<configs/parser_default.yaml>

Evaluating ParserNet:

python generate.py --config=<configs/parser_default.yaml>

Training SizerNet:

python  trainer.py --config=<configs/sizer_default.yaml>

Evaluating SizerNet:

python generate.py --config=<configs/sizer_default.yaml>

Citation:

@inproceedings{tiwari20sizer,
title = {SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing},
    author = {Tiwari, Garvita and Bhatnagar, Bharat Lal and Tung, Tony and Pons-Moll, Gerard},
    booktitle = {European Conference on Computer Vision ({ECCV})},
    month = {August},
    organization = {{Springer}},
    year = {2020},
    }

Acknowledgements:

Thanks to Chaitanya Patel for pytorch implementation of SMPL4Garment (Link: https://github.com/chaitanya100100/TailorNet)

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