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3D articulated objects modeling has long been a challenging problem, since it requires to capture both accurate surface geometries and semantically meaningful and spatially precise structures, parts, and joints.
The open motion planning library
I. A. Sucan, M. Moll, and L. E. Kavraki · 2012
Earlier work this paper cites.
Cut pursuit: Fast algorithms to learn piecewise constant functions on general weighted graphs
L. Landrieu and G. Obozinski · 2017
Earlier work this paper cites.
Sdm-net: Deep generative network for structured deformable mesh
L. Gao, J. Yang, T. Wu, Y.-J. Yuan, H. Fu, Y.-K. Lai, and H. Zhang · 2019
Earlier work this paper cites.
Structurenet: Hierarchical graph networks for 3d shape generation
K. Mo, P. Guerrero, L. Yi, H. Su, P. Wonka, N. Mitra, and L. J. Guibas · 2019
Earlier work this paper cites.
Shape2motion: Joint analysis of motion parts and attributes from 3d shapes
X. Wang, B. Zhou, Y. Shi, X. Chen, Q. Zhao, and K. Xu · 2019
Earlier work this paper cites.
Pq-net: A generative part seq2seq network for 3d shapes
R. Wu, Y. Zhuang, K. Xu, H. Zhang, and B. Chen · 2020
Earlier work this paper cites.
Sapien: A simulated part-based interactive environment
F. Xiang, Y. Qin, K. Mo, Y. Xia, H. Zhu, F. Liu, M. Liu, H. Jiang, Y. Yuan, H. Wang, et al · 2020
Earlier work this paper cites.
Category-level articulated object pose estimation
X. Li, H. Wang, L. Yi, L. J. Guibas, A. L. Abbott, and S. Song · 2020
Earlier work this paper cites.
Rpm-net: recurrent prediction of motion and parts from point cloud
Z. Yan, R. Hu, X. Yan, L. Chen, O. Van Kaick, H. Zhang, and H. Huang · 2020
Earlier work this paper cites.
Act the part: Learning interaction strategies for articulated object part discovery
S. Y. Gadre, K. Ehsani, and S. Song · 2021
Earlier work this paper cites.
Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization
J. Huang, H. Wang, T. Birdal, M. Sung, F. Arrigoni, S.-M. Hu, and L. J. Guibas · 2021
Earlier work this paper cites.
Dreamfusion: Text-to-3d using 2d diffusion
B. Poole, A. Jain, J. T. Barron, and B. Mildenhall · 2022
Earlier work this paper cites.
Dsg-net: Learning disentangled structure and geometry for 3d shape generation
J. Yang, K. Mo, Y.-K. Lai, L. J. Guibas, and L. Gao · 2022
Earlier work this paper cites.
Ditto: Building digital twins of articulated objects from interaction
Z. Jiang, C.-C. Hsu, and Y. Zhu · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2022
Earlier work this paper cites.
Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions
Y. Wang, R. Wu, K. Mo, J. Ke, Q. Fan, L. J. Guibas, and H. Dong · 2022
Earlier work this paper cites.
Self-supervised neural articulated shape and appearance models
F. Wei, R. Chabra, L. Ma, C. Lassner, M. Zollhöfer, S. Rusinkiewicz, C. Sweeney, R. Newcombe, and M. Slavcheva · 2022
Earlier work this paper cites.
Opd: Single-view 3d openable part detection
H. Jiang, Y. Mao, M. Savva, and A. X. Chang · 2022
Earlier work this paper cites.
Toward real-world category-level articulation pose estimation
L. Liu, H. Xue, W. Xu, H. Fu, and C. Lu · 2022
Earlier work this paper cites.
Grounded language-image pre-training
L. H. Li, P. Zhang, H. Zhang, J. Yang, C. Li, Y. Zhong, L. Wang, L. Yuan, L. Zhang, J.-N. Hwang, et al · 2022
Earlier work this paper cites.
Robogen: Towards unleashing infinite data for automated robot learning via generative simulation
Y. Wang, Z. Xian, F. Chen, T.-H. Wang, Y. Wang, K. Fragkiadaki, Z. Erickson, D. Held, and C. Gan · 2023
Earlier work this paper cites.
Imitating task and motion planning with visuomotor transformers
M. Dalal, A. Mandlekar, C. Garrett, A. Handa, R. Salakhutdinov, and D. Fox · 2023
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Scaling up and distilling down: Language-guided robot skill acquisition
H. Ha, P. Florence, and S. Song · 2023
Cited alongside, same era.
Eureka: Human-level reward design via coding large language models
Y. J. Ma, W. Liang, G. Wang, D.-A. Huang, O. Bastani, D. Jayaraman, Y. Zhu, L. Fan, and A. Anandkumar · 2023
Cited alongside, same era.
Lrm: Large reconstruction model for single image to 3d
Y. Hong, K. Zhang, J. Gu, S. Bi, Y. Zhou, D. Liu, F. Liu, K. Sunkavalli, T. Bui, and H. Tan · 2023
Cited alongside, same era.
Difffacto: Controllable part-based 3d point cloud generation with cross diffusion
G. K. Nakayama, M. A. Uy, J. Huang, S.-M. Hu, K. Li, and L. Guibas · 2023
Urdformer: A pipeline for constructing articulated simulation environments from real-world images
Z. Chen, A. Walsman, M. Memmel, K. Mo, A. Fang, K. Vemuri, A. Wu, D. Fox, and A. Gupta · 2024
Later among the works it cites.
Architect: Generating vivid and interactive 3d scenes with hierarchical 2d inpainting
Y. Wang, X. Qiu, J. Liu, Z. Chen, J. Cai, Y. Wang, T.-H. J. Wang, Z. Xian, and C. Gan · 2024
Later among the works it cites.
Wonder3d: Single image to 3d using cross-domain diffusion
X. Long, Y.-C. Guo, C. Lin, Y. Liu, Z. Dou, L. Liu, Y. Ma, S.-H. Zhang, M. Habermann, C. Theobalt, et al · 2024
Later among the works it cites.
J. Xu, W. Cheng, Y. Gao, X. Wang, S. Gao, and Y. Shan · 2024
Later among the works it cites.
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
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Salad: Part-level latent diffusion for 3d shape generation and manipulation
J. Koo, S. Yoo, M. H. Nguyen, and M. Sung · 2023
Cited alongside, same era.
Paris: Part-level reconstruction and motion analysis for articulated objects
J. Liu, A. Mahdavi-Amiri, and M. Savva · 2023
Cited alongside, same era.
Nap: Neural 3d articulated object prior
J. Lei, C. Deng, W. B. Shen, L. J. Guibas, and K. Daniilidis · 2023
Cited alongside, same era.
Structure from action: Learning interactions for 3d articulated object structure discovery
N. Nie, S. Y. Gadre, K. Ehsani, and S. Song · 2023
Cited alongside, same era.
Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
H. Geng, H. Xu, C. Zhao, C. Xu, L. Yi, S. Huang, and H. Wang · 2023
Cited alongside, same era.
J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al · 2023
Cited alongside, same era.
Segment anything
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al · 2023
Cited alongside, same era.
Z. Wang, C. Lu, Y. Wang, F. Bao, C. Li, H. Su, and J. Zhu · 2024
Later among the works it cites.
Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d
L. Qiu, G. Chen, X. Gu, Q. Zuo, M. Xu, Y. Wu, W. Yuan, Z. Dong, L. Bo, and X. Han · 2024
Later among the works it cites.
Part123: Part-aware 3d reconstruction from a single-view image
A. Liu, C. Lin, Y. Liu, X. Long, Z. Dou, H.-X. Guo, P. Luo, and W. Wang · 2024
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Cage: Controllable articulation generation
J. Liu, H. I. I. Tam, A. Mahdavi-Amiri, and M. Savva · 2024
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Real2code: Reconstruct articulated objects via code generation
Z. Mandi, Y. Weng, D. Bauer, and S. Song · 2024
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Partdistill: 3d shape part segmentation by vision-language model distillation
A. Umam, C.-K. Yang, M.-H. Chen, J.-H. Chuang, and Y.-Y. Lin · 2024
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Sampart3d: Segment any part in 3d objects
Y. Yang, Y. Huang, Y.-C. Guo, L. Lu, X. Wu, E. Y. Lam, Y.-P. Cao, and X. Liu · 2024
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Mars: Multimodal active robotic sensing for articulated characterization
H. Zeng, P. Zhang, C. Wu, J. Wang, T. Ye, and F. Li · 2024
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Neural implicit representation for building digital twins of unknown articulated objects
Y. Weng, B. Wen, J. Tremblay, V. Blukis, D. Fox, L. Guibas, and S. Birchfield · 2024
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Opdmulti: Openable part detection for multiple objects
X. Sun, H. Jiang, M. Savva, and A. Chang · 2024
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Partgen: Part-level 3d generation and reconstruction with multi-view diffusion models
M. Chen, R. Shapovalov, I. Laina, T. Monnier, J. Wang, D. Novotny, and A. Vedaldi · 2024
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Dino-x: A unified vision model for open-world object detection and understanding
T. Ren, Y. Chen, Q. Jiang, Z. Zeng, Y. Xiong, W. Liu, Z. Ma, J. Shen, Y. Gao, X. Jiang, et al · 2024
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Genesis: A universal and generative physics engine for robotics and beyond, December 2024
G. Authors · 2024
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2d gaussian splatting for geometrically accurate radiance fields
B. Huang, Z. Yu, A. Chen, A. Geiger, and S. Gao · 2024
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Holopart: Generative 3d part amodal segmentation
Y. Yang, Y.-C. Guo, Y. Huang, Z.-X. Zou, Z. Yu, Y. Li, Y.-P. Cao, and X. Liu · 2025
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URL https://www.meshy.ai
Meshy ai, 2025 · 2025
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