Mesh Processing

I hope the branch can help anyone who wants to do research about mesh processing.

Contact me: qiujie_dong(AT)mail.sdu.edu.cn, Qiujie.Jay.Dong(AT)gmail.com.

Thanks for your valuable contribution to the research.:smiley:

- Symbols

Statistics: :star: code is available & stars >= 100 | :fire: citation >= 50

- Topics

Mesh Feature Extraction or Mesh segmentation
Datasets
Courses
Paper Resources
Following

`Feature Extraction of Meshes or Mesh segmentation`

2024

DAE-Net: Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang. "DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation", SIGGRAPH(2024). [paper] [code]

2023

BRUNO ROY. "Neural Shape Diameter Function for Efficient Mesh Segmentation", SIGGRAPH(2023). [paper]
MWFormer: Haoyang peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu. "MWFormer: Mesh Understanding with Window-Based Transformer", SSRN(2023). [paper]
Picasso++: Huan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Mian. "Mesh Convolution with Continuous Filters for 3D Surface Parsing", TNNLS(2023). [paper] [code] :star:
DGNet: Xiang-Li Li, Zheng-Ning Liu, Tuo Chen, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu. "Mesh Neural Networks Based on Dual Graph Pyramids", TVCG(2023). [paper] [code]

2022

Laplacian2Mesh: Qiujie Dong, Zixiong Wang, Manyi Li, Junjie Gao, Shuangmin Chen, Zhenyu Shu, Shiqing Xin, Changhe Tu, Wenping Wang. "Laplacian2Mesh: Laplacian-Based Mesh Understanding", TVCG( 2023). [paper] [code]
MeshFormers: Hao-Yang Peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu. "MeshFormers: Transformer-Based Networks for Mesh Understanding", SSRN(2022). [paper]
MeshFormer: Yuan Li, Xiangyang He, Yankai Jiang, Huan Liu, Yubo Tao, Lin Hai. "MeshFormer: High-resolution Mesh Segmentation with Graph Transformer", CGF(2022). [paper]
DiffusionNet: Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov. "DiffusionNet: Discretization Agnostic Learning on Surfaces", TOG( 2022). [paper] [code]
SubdivNet: Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin. " Subdivision-Based Mesh Convolution Networks", TOG( 2022). [paper] [code]
Laplacian Mesh Transformer: Xiao-Juan Li, Jie Yang, Fang-Lue Zhan. "Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation", ECCV( 2022). [paper]

2021

HodgeNet: Dmitriy Smirnov, Justin Solomon. "HodgeNet: Learning Spectral Geometry on Triangle Meshes", SIGGRAPH( 2021). [paper] [code]
MeshNet++: Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu. "MeshNet++: A Network with a Face", ACM MM(2021). [paper]

2020

Long Zhang, Jianwei Guo, Jun Xiao, Xiaopeng Zhang, Dong-Ming Yan. "Blending Surface Segmentation and Editing for 3D Models", TVCG(2020). [paper]
PD-MeshNet: Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone. "Primal-Dual Mesh Convolutional Neural Networks", NeurIPS(2020) . [paper] [code]
CurvaNet: Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju. "CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis", KDD(2020). [paper]
MeshSegNet: Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen. "Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners", MICCAI( 2019) and TMI(2020) . [paper] [code]
MGCN: Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka. "MGCN: Descriptor Learning using Multiscale GCNs", SIGGRAPH(2020) . [project] [paper] [code]
MedMeshCNN: Lisa Schneider, Annika Niemann, Oliver Beuing, Bernhard Preim, Sylvia Saalfeld. "MedMeshCNN - Enabling MeshCNN for Medical Surface Models", arXiv(2020) . [paper] [code]
MeshWalker: Alon Lahav, Ayellet Tal. "MeshWalker: Deep Mesh Understanding by Random Walks", SIGGRAPH Asia(2020) . [paper] [code]
Amit Kohli, Vincent Sitzmann, Gordon Wetzstein. "Semantic Implicit Neural Scene RepresentationsWith Semi-Supervised Training", 3DV( 2020). [project] [paper] [code]
Zhenyu Shu, Xiaoyong Shen, Shiqing Xin, Qingjun Chang, Jieqing Feng, Ladislav Kavan, Ligang Liu. "Scribble-Based 3D Shape Segmentation via Weakly-Supervised Learning", TVCG( 2020). [paper]

2019

LaplacianNet: Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen. "LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling", TVCG(2019). [paper]
VoxSegNet: Zongji Wang, Feng Lu. "VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes", TVCG( 2019). [paper] [code]
BAE-Net: Chen Zhiqin, Yin Kangxue, Fisher Matthew, Chaudhuri Siddhartha, Zhang Hao. "Bae-net: Branched autoencoder for shape co-segmentation", ICCV(2019) . [paper] [code]
MeshNet: Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao. "MeshNet: Mesh Neural Network for 3D Shape Representation", AAAI(2019) . [paper] [code] :star:
DGCNN: Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon. "Dynamic Graph CNN for Learning on Point Clouds", TOG(2019) . [project] [paper] [code] :star::fire:
MeshCNN: Hanocka Rana, Hertz Amir, Fish Noa, Giryes Raja, Fleishman Shachar, Cohen-Or Daniel. "MeshCNN: A Network with an Edge", SIGGRAPH(2019) . [project] [paper] [code] [code from NVIDIA] :star::fire:
Xiaojie Xu, Chang Liu, Youyi Zheng. "3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks", TVCG(2019). [paper]
Zhao Wang; Li Chen. "Mesh Segmentation for High Resolution Medical Data", CISP-BMEI(2019) . [paper]

Before 2019

MDGCNN: ADRIEN POULENARD, MAKS OVSJANIKOV. "Multi-directional Geodesic Neural Networks via Equivariant Convolution", TOG(2018). [paper] [code] :fire:
George David, Xie Xianghua, Tam Gary KL. "3D mesh segmentation via multi-branch 1D convolutional neural networks", GM( 2018). [paper]
A Survey: Rui S. V. Rodrigues, Jos´e F. M. Morgado, Abel J. P. Gomes. "Part‐Based Mesh Segmentation: A Survey", COMPUTER GRAPHICS forum(2018). [paper]
Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun. "3D Shape Segmentation via Shape Fully Convolutional Networks", CG(2018) . [paper] [code]
Pointgrid: Truc Le, Ye Duan. "Pointgrid: A deep network for 3d shape understanding", CVPR(2018) . [paper] [code_PyTorch] [code_TensorFlow] :fire:
PointCNN: Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, Baoquan Chen. "PointCNN: Convolution On X-Transformed Points", NIPS(2018) . [paper] [code] :star::fire:
SyncSpecCNN: Li Yi, Hao Su, Xingwen Guo, Leonidas Guibas. "SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation", CVPR( 2017). [paper] [code] :fire:
DCN: Haotian Xu, Ming Dong, Zichun Zhong. "Directionally convolutional networks for 3d shape segmentation", ICCV( 2017) . [paper]
Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik. "Learning shape abstractions by assembling volumetric primitives", CVPR(2017) . [project] [paper] [code] :star::fire:
MVRNN: Le Truc, Bui Giang, Duan Ye. "A multi-view recurrent neural network for 3D mesh segmentation", Computers & Graphics(2017) . [paper] [code]
A Survey: Medhat Rashad, Mohamed Khamiss, Mohamed MOUSA. "A Review on Mesh Segmentation Techniques", IJEIT(2017) . [paper]
ShapePFCN: Evangelos Kalogerakis, Melinos Averkiou, Subhransu

Mesh_Segmentation