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DmitryRyumin committed Mar 21, 2024
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![Total Papers](https://img.shields.io/badge/Total%20Papers-2156-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-1660%20(76.99%25)-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1417%20(65.72%25)%20*-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-275%20(12.76%25)%20*-FF0000)
![Total Papers](https://img.shields.io/badge/Total%20Papers-2156-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-1660%20(76.99%25)-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1417%20(65.72%25)%20*-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-276%20(12.80%25)%20*-FF0000)

> :point_right: `*` This count includes repositories on GitHub, GitLab, Hugging Face, and distributions on PyPI, while excluding Web Page or GitHub Page links.
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<a href="https://github.com/DmitryRyumin/ICCV-2023-Papers/blob/main/sections/2023/main/3d-shape-modeling-and-processing.md"><img src="https://img.shields.io/badge/33-1D7FBF" alt="Open Code"></a>
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## 3D Shape Modeling and Processing

![Section Papers](https://img.shields.io/badge/Section%20Papers-46-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-35-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-33-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-10-FF0000)
![Section Papers](https://img.shields.io/badge/Section%20Papers-46-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-35-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-33-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-11-FF0000)

| **Title** | **Repo** | **Paper** | **Video** |
|-----------|:--------:|:---------:|:---------:|
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| SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://salad3d.github.io/) <br /> [![GitHub](https://img.shields.io/github/stars/KAIST-Geometric-AI-Group/SALAD?style=flat)](https://github.com/KAIST-Geometric-AI-Group/SALAD) <br /> [![Hugging Face](https://img.shields.io/badge/🤗-demo-FFD21F.svg)](https://huggingface.co/spaces/KAIST-Geometric-AI-Lab/salad-demo) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Koo_SALAD_Part-Level_Latent_Diffusion_for_3D_Shape_Generation_and_Manipulation_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.12236-b31b1b.svg)](https://arxiv.org/abs/2303.12236) | :heavy_minus_sign: |
| MAPConNet: Self-Supervised 3D Pose Transfer with Mesh and Point Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/justin941208/MAPConNet?style=flat)](https://github.com/justin941208/MAPConNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Sun_MAPConNet_Self-supervised_3D_Pose_Transfer_with_Mesh_and_Point_Contrastive_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.13819-b31b1b.svg)](https://arxiv.org/abs/2304.13819) | :heavy_minus_sign: |
| Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition | [![GitHub](https://img.shields.io/github/stars/yxymessi/InvJoint?style=flat)](https://github.com/yxymessi/InvJoint) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Yi_Invariant_Training_2D-3D_Joint_Hard_Samples_for_Few-Shot_Point_Cloud_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2308.09694-b31b1b.svg)](https://arxiv.org/abs/2308.09694) | :heavy_minus_sign: |
| EPiC: Ensemble of Partial Point Clouds for Robust Classification | [![GitHub](https://img.shields.io/github/stars/yossilevii100/EPiC?style=flat)](https://github.com/yossilevii100/EPiC) <br /> [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/yossilevii100/ce4cae6c26e7c3d3358c4fb7dda3bec4/untitled5.ipynb) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Levi_EPiC_Ensemble_of_Partial_Point_Clouds_for_Robust_Classification_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.11419-b31b1b.svg)](https://arxiv.org/abs/2303.11419) | :heavy_minus_sign: |
| EPiC: Ensemble of Partial Point Clouds for Robust Classification | [![GitHub](https://img.shields.io/github/stars/yossilevii100/EPiC?style=flat)](https://github.com/yossilevii100/EPiC) <br /> [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/yossilevii100/ce4cae6c26e7c3d3358c4fb7dda3bec4/untitled5.ipynb) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Levi_EPiC_Ensemble_of_Partial_Point_Clouds_for_Robust_Classification_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.11419-b31b1b.svg)](https://arxiv.org/abs/2303.11419) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=mdULLmWhotw) |
| Leveraging Intrinsic Properties for Non-Rigid Garment Alignment | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://jsnln.github.io/iccv2023_intrinsic/index.html) <br /> [![GitHub](https://img.shields.io/github/stars/jsnln/IntrinsicGarmAlign?style=flat)](https://github.com/jsnln/IntrinsicGarmAlign) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Lin_Leveraging_Intrinsic_Properties_for_Non-Rigid_Garment_Alignment_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2308.09519-b31b1b.svg)](https://arxiv.org/abs/2308.09519) | :heavy_minus_sign: |
| Spatially and Spectrally Consistent Deep Functional Maps | [![GitHub](https://img.shields.io/github/stars/rqhuang88/Spatially-and-Spectrally-Consistent-Deep-Functional-Maps?style=flat)](https://github.com/rqhuang88/Spatially-and-Spectrally-Consistent-Deep-Functional-Maps) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Sun_Spatially_and_Spectrally_Consistent_Deep_Functional_Maps_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2308.08871-b31b1b.svg)](https://arxiv.org/abs/2308.08871) | :heavy_minus_sign: |
| SVDFormer: Complementing Point Cloud via Self-View Augmentation and Self-Structure Dual-Generator | [![GitHub](https://img.shields.io/github/stars/czvvd/SVDFormer?style=flat)](https://github.com/czvvd/SVDFormer) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/ICCV2023/papers/Zhu_SVDFormer_Complementing_Point_Cloud_via_Self-view_Augmentation_and_Self-structure_Dual-generator_ICCV_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2307.08492-b31b1b.svg)](https://arxiv.org/abs/2307.08492) | :heavy_minus_sign: |
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