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D-LAYERS Dataset

[Paper] | [Project] | [Code]

This is the repository of Dataset for "Towards Multi-Layered 3D Garments Animation, ICCV 2023". Please refer to our project page for more details.

Authors: Yidi Shao, Chen Change Loy, and Bo Dai.

Acknowedgement: This study is supported under the RIE2020 Industry Alignment Fund Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry partner(s). It is also supported by Singapore MOE AcRF Tier 2 (MOE-T2EP20221-0011) and Shanghai AI Laboratory.

Access of Dataset

Please download the dataset here.

Demo

  1. Download the data samples from here and unzip the file into this repo. You should see a directory named data with demo and smpl inside.
  2. Download SMPL models in this page. Name the file as model_f.pkl and model_m.pkl, then save into data/smpl.
  3. To view the examples in demo.ipynb, please create the following environment.
conda create -n LAYERS python=3.8
conda activate LAYERS

# Dependent packages
pip3 install numpy==1.23.1 scipy chumpy plotly ipykernel nbformat

Citations

@inproceedings{shao2023layersnet,
  author = {Shao, Yidi and Loy, Chen Change and Dai, Bo},
  title = {Towards Multi-Layered {3D} Garments Animation},
  booktitle = {ICCV},
  year = {2023}
}