DENse and Diverse symmetry dataset (DENDI), CVPR 2022
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
[paper] [project page (EquiSym)]
Official Dataset proposed in Reflection and Rotation Symmetry Detection via Equivariant Learning (CVPR 2022).
Contributors of this dataset: Ahyun Seo, Byungjin Kim, Yunseon Choi
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Environment
conda create --name DENDI python=3.7
conda activate DENDI
conda install pytorch==1.7.0 torchvision==0.8.1 -c pytorch
conda install -c conda-forge matplotlib
pip install albumentations==0.5.2 shapely opencv-python
mkdir sym_datasets
Datasets
.
├── sym_datasets
│ └── DENDI
│ ├── symmetry
│ ├── symmetry_polygon
│ ├── reflection_split.pt
│ ├── rotation_split.pt
│ └── joint_split.pt
└── (...)
Citation
If you find our code or paper useful to your research work, please consider citing:
@inproceedings{seo2022dendi,
author = {Seo, Ahyun and Kim, Byungjin and Kwak, Suha and Cho, Minsu},
title = {Reflection and Rotation Symmetry Detection via Equivariant Learning},
booktitle= {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022}
}