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We propose PartField, a feedforward approach for learning part-based 3D features, which captures the general concept of parts and their hierarchy without relying on predefined templates or text-based names, and can be applied to open-world 3D shapes across various modalities.
Functional maps: a flexible representation of maps between shapes
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, and Leonidas Guibas · 2012
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Active co-analysis of a set of shapes
Yunhai Wang, Shmulik Asafi, Oliver Van Kaick, Hao Zhang, Daniel Cohen-Or, and Baoquan Chen · 2012
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Tetgen, a delaunay-based quality tetrahedral mesh generator
Si Hang · 2015
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Abc: A big cad model dataset for geometric deep learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo · 2019
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Point-voxel cnn for efficient 3d deep learning
Zhijian Liu, Haotian Tang, Yujun Lin, and Song Han · 2019
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Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
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SAPIEN: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
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Learning to group: A bottom-up framework for 3d part discovery in unseen categories, 2021
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, and Hao Su · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Learning fine-grained segmentation of 3d shapes without part labels
Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, and Bin Zhou · 2021
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Objaverse: A universe of annotated 3d objects
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, and Ali Farhadi · 2022
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Smooth non-rigid shape matching via effective dirichlet energy optimization
Robin Magnet, Jing Ren, Olga Sorkine-Hornung, and Maks Ovsjanikov · 2022
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Pointnext: Revisiting pointnet++ with improved training and scaling strategies
Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, and Bernard Ghanem · 2022
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Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
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Learning fine-grained segmentation of 3d shapes without part labels, 2022
Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, and Bin Zhou · 2022
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Partnet: A recursive part decomposition network for fine-grained and hierarchical shape segmentation, 2022
Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, and Kai Xu · 2022
Cited alongside, same era.
Pointclip: Point cloud understanding by clip
Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, and Hongsheng Li · 2022
Cited alongside, same era.
Zero-shot 3d shape correspondence
Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, and Peter Wonka · 2023
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Segment anything in 3d with radiance fields
Jiazhong Cen, Jiemin Fang, Zanwei Zhou, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, and Qi Tian · 2023
Cited alongside, same era.
Interactive segment anything nerf with feature imitation
Xiaokang Chen, Jiaxiang Tang, Diwen Wan, Jingbo Wang, and Gang Zeng · 2023
Cited alongside, same era.
Partstad: 2d-to-3d part segmentation task adaptation
Hyunjin Kim and Minhyuk Sung · 2024
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2d-guided 3d gaussian segmentation
Kun Lan, Haoran Li, Haolin Shi, Wenjun Wu, Lin Wang, and Yong Liao · 2024
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iseg: Interactive 3d segmentation via interactive attention
Itai Lang, Fei Xu, Dale Decatur, Sudarshan Babu, and Rana Hanocka · 2024
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Part123: part-aware 3d reconstruction from a single-view image
Anran Liu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Zhiyang Dou, Hao-Xiang Guo, Ping Luo, and Wenping Wang · 2024
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Find any part in 3d, 2024
Ziqi Ma, Yisong Yue, and Georgia Gkioxari · 2024
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Open3dis: Open-vocabulary 3d instance segmentation with 2d mask guidance
Phuc Nguyen, Tuan Duc Ngo, Evangelos Kalogerakis, Chuang Gan, Anh Tran, Cuong Pham, and Khoi Nguyen · 2024
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Cited alongside, same era.
Lerf: Language embedded radiance fields
Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, and Matthew Tancik · 2023
Cited alongside, same era.
Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, and Hao Su · 2023
Cited alongside, same era.
Ovir-3d: Open-vocabulary 3d instance retrieval without training on 3d data, 2023
Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, and Kostas Bekris · 2023
Cited alongside, same era.
Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
Cited alongside, same era.
Openmask3d: Open-vocabulary 3d instance segmentation
Ayça Takmaz, Elisabetta Fedele, Robert W Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann · 2023
Cited alongside, same era.
Sampro3d: Locating sam prompts in 3d for zero-shot scene segmentation
Mutian Xu, Xingyilang Yin, Lingteng Qiu, Yang Liu, Xin Tong, and Xiaoguang Han · 2023
Cited alongside, same era.
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Edify 3d: Scalable high-quality 3d asset generation
NVIDIA, Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Huffman, Jingyi Jin, J.P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, and Qinsheng Zhang · 2024
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Langsplat: 3d language gaussian splatting
Minghan Qin, Wanhua Li, Jiawei Zhou, Haoqian Wang, and Hanspeter Pfister · 2024
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Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally
Qiuhong Shen, Xingyi Yang, and Xinchao Wang · 2024
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Segment any mesh: Zero-shot mesh part segmentation via lifting segment anything 2 to 3d, 2024
George Tang, William Zhao, Logan Ford, David Benhaim, and Paul Zhang · 2024
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Zero-shot dual-path integration framework for open-vocabulary 3d instance segmentation
Tri Ton, Ji Woo Hong, SooHwan Eom, Jun Yeop Shim, Junyeong Kim, and Chang D Yoo · 2024
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Partdistill: 3d shape part segmentation by vision-language model distillation
Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, and Yen-Yu Lin · 2024
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Structured 3d latents for scalable and versatile 3d generation
Jianfeng Xiang, Zelong Lv, Sicheng Xu, Yu Deng, Ruicheng Wang, Bowen Zhang, Dong Chen, Xin Tong, and Jiaolong Yang · 2024
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Embodiedsam: Online segment any 3d thing in real time
Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, and Jiwen Lu · 2024
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Sampart3d: Segment any part in 3d objects
Yunhan Yang, Yukun Huang, Yuan-Chen Guo, Liangjun Lu, Xiaoyang Wu, Edmund Y Lam, Yan-Pei Cao, and Xihui Liu · 2024
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Gaussian grouping: Segment and edit anything in 3d scenes
Mingqiao Ye, Martin Danelljan, Fisher Yu, and Lei Ke · 2024
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Sai3d: Segment any instance in 3d scenes
Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, and Baoquan Chen · 2024
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Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning
Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, and Lu Fang · 2024
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Meshsegmenter: Zero-shot mesh semantic segmentation via texture synthesis
Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, and Shenghua Gao · 2024
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