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We propose Segment Any Mesh, a novel zero-shot mesh part segmentation method that overcomes the limitations of shape analysis-based, learning-based, and contemporary approaches.
Fast approximate energy minimization via graph cuts
Y. Boykov, O. Veksler, and R. Zabih · 2001
Earlier work this paper cites.
Consistent mesh partitioning and skeletonisation using the shape diameter function
Lior Shapira, Ariel Shamir, and Daniel Cohen-Or · 2008
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A benchmark for 3D mesh segmentation
Xiaobai Chen, Aleksey Golovinskiy, and Thomas Funkhouser · 2009
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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
Earlier work this paper cites.
Multi-view convolutional neural networks for 3d shape recognition, 2015
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
Earlier work this paper cites.
3d shape segmentation with projective convolutional networks, 2017
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, and Siddhartha Chaudhuri · 2017
Earlier work this paper cites.
Meshcnn: a network with an edge
Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2019
Earlier work this paper cites.
Primal-dual mesh convolutional neural networks, 2020
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, and Luca Carlone · 2020
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis, 2020
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Earlier work this paper cites.
Hodgenet: Learning spectral geometry on triangle meshes, 2021
Dmitriy Smirnov and Justin Solomon · 2021
Cited alongside, same era.
In-place scene labelling and understanding with implicit scene representation, 2021
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, and Andrew J. Davison · 2021
Cited alongside, same era.
Masked-attention mask transformer for universal image segmentation, 2022
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
Cited alongside, same era.
3d highlighter: Localizing regions on 3d shapes via text descriptions, 2022
Dale Decatur, Itai Lang, and Rana Hanocka · 2022
Cited alongside, same era.
Decomposing nerf for editing via feature field distillation, 2022
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
Cited alongside, same era.
Partglot: Learning shape part segmentation from language reference games, 2022
Generative zero-shot learning for semantic segmentation of 3d point clouds, 2023
Björn Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet · 2023
Later among the works it cites.
Neural shape diameter function for efficient mesh segmentation
Bruno Roy · 2023
Later among the works it cites.
Recognize anything: A strong image tagging model, 2023
Youcai Zhang, Xinyu Huang, Jinyu Ma, Zhaoyang Li, Zhaochuan Luo, Yanchun Xie, Yuzhuo Qin, Tong Luo, Yaqian Li, Shilong Liu, Yandong Guo, and Lei Zhang · 2023
Later among the works it cites.
Segment anything in 3d with radiance fields, 2024
Jiazhong Cen, Jiemin Fang, Zanwei Zhou, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, and Qi Tian · 2024
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection, 2024
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, and Lei Zhang · 2024
Closest in time.
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Juil Koo, Ian Huang, Panos Achlioptas, Leonidas Guibas, and Minhyuk Sung · 2022
Cited alongside, same era.
Laplacian mesh transformer: Dual attention and topology aware network for 3d mesh classification and segmentation
Xiao-Juan Li, Jie Yang, and Fang-Lue Zhang · 2022
Cited alongside, same era.
Zero-shot point cloud segmentation by transferring geometric primitives, 2023
Runnan Chen, Xinge Zhu, Nenglun Chen, Wei Li, Yuexin Ma, Ruigang Yang, and Wenping Wang · 2023
Cited alongside, same era.
Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
Cited alongside, same era.
Zero-shot 3d shape correspondence, 2023a
Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, and Peter Wonka
Cited in the paper.
Satr: Zero-shot semantic segmentation of 3d shapes, 2023b
Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, and Peter Wonka
Cited in the paper.
Visual instruction tuning, 2023a
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee
Cited in the paper.
Dinov2: Learning robust visual features without supervision, 2024
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2024
Closest in time.
Sam 2: Segment anything in images and videos, 2024
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, and Christoph Feichtenhofer · 2024
Closest in time.
Efficient 3d instance mapping and localization with neural fields, 2024
George Tang, Krishna Murthy Jatavallabhula, and Antonio Torralba · 2024
Closest in time.
Meshsegmenter: Zero-shot mesh semantic segmentation via texture synthesis, 2024
Ziming Zhong, Yanxu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, and Shenghua Gao · 2024
Closest in time.