FoldingNet++

<strong>Introduction</strong> This dataset includes training and testing datasets needed for our FoldingNet++ software available at https://merl.com/research/license/FoldingNet_Plus. <strong>Citation</strong> If you use the data, please cite the following TR2020-004: <pre><code>@article{Chen2020jan, author = {Chen, Siheng and Duan, Chaojing and Yang, Yaoqing and Feng, Chen and Li, Duanshun and Tian, Dong}, title = {Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering}, journal = {IEEE Transactions on Image Processing}, year = 2020, pages = {3183--3198}, month = jan, doi = {10.1109/TIP.2019.2957935}, url = {https://www.merl.com/publications/TR2020-004} }</code></pre> <strong>Copyright and License</strong> The CASENet dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2018-2019, 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>