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3D part amodal segmentation--decomposing a 3D shape into complete, semantically meaningful parts, even when occluded--is a challenging but crucial task for 3D content creation and understanding.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1998
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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Laplacian mesh optimization
Andrew Nealen, Takeo Igarashi, Olga Sorkine, and Marc Alexa · 2006
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Auto-encoding variational bayes
Diederik P Kingma · 2013
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Amodal completion and size constancy in natural scenes
Abhishek Kar, Shubham Tulsiani, Joao Carreira, and Jitendra Malik · 2015
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Data-driven structural priors for shape completion
Minhyuk Sung, Vladimir G Kim, Roland Angst, and Leonidas Guibas · 2015
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Structured prediction of unobserved voxels from a single depth image
Michael Firman, Oisin Mac Aodha, Simon Julier, and Gabriel J Brostow · 2016
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A field model for repairing 3d shapes
Duc Thanh Nguyen, Binh-Son Hua, Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung · 2016
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Shape completion using 3d-encoder-predictor cnns and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Nießner · 2017
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Semantic amodal segmentation
Yan Zhu, Yuandong Tian, Dimitris Metaxas, and Piotr Dollár · 2017
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Segan: Segmenting and generating the invisible
Kiana Ehsani, Roozbeh Mottaghi, and Ali Farhadi · 2018
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Pointcnn: Convolution on x-transformed points
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen · 2018
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Unpaired point cloud completion on real scans using adversarial training
Xuelin Chen, Baoquan Chen, and Niloy J Mitra · 2019
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Scan2mesh: From unstructured range scans to 3d meshes
Angela Dai and Matthias Nießner · 2019
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Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding
Kaichun Mo, Shilin Zhu, Angel X Chang, Li Yi, Subarna Tripathi, Leonidas J Guibas, and Hao Su · 2019
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Amodal instance segmentation with kins dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Variational amodal object completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, and Sanja Fidler · 2020
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Self-supervised scene de-occlusion
Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, and Chen Change Loy · 2020
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Deep occlusion-aware instance segmentation with overlapping bilayers
Lei Ke, Yu-Wing Tai, and Chi-Keung Tang · 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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Unsupervised 3d shape completion through gan inversion
Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, and Chen Change Loy · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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Building normalizing flows with stochastic interpolants
Michael S Albergo and Eric Vanden-Eijnden · 2022
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Abo: Dataset and benchmarks for real-world 3d object understanding
Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F Yago Vicente, Thomas Dideriksen, Himanshu Arora, et al · 2022
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Neural wavelet-domain diffusion for 3d shape generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu, and Chi-Wing Fu · 2022
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Grounded language-image pre-training
Diffusion-based signed distance fields for 3d shape generation
Jaehyeok Shim, Changwoo Kang, and Kyungdon Joo · 2023
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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 · 2023
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Zerops: High-quality cross-modal knowledge transfer for zero-shot 3d part segmentation
Yuheng Xue, Nenglun Chen, Jun Liu, and Wenyun Sun · 2023
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3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models
Biao Zhang, Jiapeng Tang, Matthias Niessner, and Peter Wonka · 2023
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Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2022
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Flow matching for generative modeling
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
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Flow straight and fast: Learning to generate and transfer data with rectified flow
Xingchao Liu, Chengyue Gong, and Qiang Liu · 2022
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Autosdf: Shape priors for 3d completion, reconstruction and generation
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, and Shubham Tulsiani · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 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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Patchcomplete: Learning multi-resolution patch priors for 3d shape completion on unseen categories
Yuchen Rao, Yinyu Nie, and Angela Dai · 2022
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Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, and Hao Su · 2023
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Partgen: Part-level 3d generation and reconstruction with multi-view diffusion models
Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, and Andrea Vedaldi · 2024
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Diffcomplete: Diffusion-based generative 3d shape completion
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, and Jiaya Jia · 2024
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Sc-diff: 3d shape completion with latent diffusion models
Juan D Galvis, Xingxing Zuo, Simon Schaefer, and Stefan Leutengger · 2024
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Partstad: 2d-to-3d part segmentation task adaptation
Hyunjin Kim and Minhyuk Sung · 2024
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Craftsman: High-fidelity mesh generation with 3d native generation and interactive geometry refiner
Weiyu Li, Jiarui Liu, Rui Chen, Yixun Liang, Xuelin Chen, Ping Tan, and Xiaoxiao Long · 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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Wonder3d: Single image to 3d using cross-domain diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, et al · 2024
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pix2gestalt: Amodal segmentation by synthesizing wholes
Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, and Carl Vondrick · 2024
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Segment any mesh: Zero-shot mesh part segmentation via lifting segment anything 2 to 3d
George Tang, William Zhao, Logan Ford, David Benhaim, and Paul Zhang · 2024
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3x2: 3d object part segmentation by 2d semantic correspondences
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, and James M Rehg · 2024
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Direct3d: Scalable image-to-3d generation via 3d latent diffusion transformer
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, and Yao Yao · 2024
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Sampart3d: Segment any part in 3d objects, 2024
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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Clay: A controllable large-scale generative model for creating high-quality 3d assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang, Qiwei Qiu, Anqi Pang, Haoran Jiang, Wei Yang, Lan Xu, and Jingyi Yu · 2024
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Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, and Shenghua Gao · 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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Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation
Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai, Xingang Pan, and Chen Change Loy · 2025
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Compress3d: a compressed latent space for 3d generation from a single image
Bowen Zhang, Tianyu Yang, Yu Li, Lei Zhang, and Xi Zhao · 2025
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