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Interactable objects are ubiquitous in our daily lives.
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Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of Eurographics Symposium on Geometry Processing (2006)
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Mitra, N.J., Guibas, L.J., Pauly, M.: Partial and approximate symmetry detection for 3d geometry. ACM Transactions on Graphics (TOG) 25
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Nealen, A., Igarashi, T., Sorkine, O., Alexa, M.: Laplacian mesh optimization. In: Proceedings of International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia (2006)
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Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Transactions on Graphics (TOG) 32
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Sipiran, I., Gregor, R., Schreck, T.: Approximate symmetry detection in partial 3d meshes. In: Computer Graphics Forum (2014)
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Li, Y., Dai, A., Guibas, L., Nießner, M.: Database-assisted object retrieval for real-time 3d reconstruction. In: Computer Graphics Forum (2015)
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Sohn, K., Lee, H., Yan, X.: Learning structured output representation using deep conditional generative models. In: Advances in Neural Information Processing Systems (NeurIPS) (2015)
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Firman, M., Mac Aodha, O., Julier, S., Brostow, G.J.: Structured prediction of unobserved voxels from a single depth image. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
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Nguyen, D.T., Hua, B.S., Tran, K., Pham, Q.H., Yeung, S.K.: A field model for repairing 3d shapes. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
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Speciale, P., Oswald, M.R., Cohen, A., Pollefeys, M.: A symmetry prior for convex variational 3d reconstruction. In: European Conference on Computer Vision (ECCV) (2016)
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Han, X., Li, Z., Huang, H., Kalogerakis, E., Yu, Y.: High-resolution shape completion using deep neural networks for global structure and local geometry inference. In: International Conference on Computer Vision (ICCV) (2017)
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Qi, C.R., Yi, L., Su, H., Guibas, L.J.: Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In: Advances in Neural Information Processing Systems (NeurIPS) (2017)
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Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., Funkhouser, T.: Semantic scene completion from a single depth image. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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Achlioptas, P., Diamanti, O., Mitliagkas, I., Guibas, L.: Learning representations and generative models for 3d point clouds. In: International Conference on Machine Learning (ICML) (2018)
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Dai, A., Nießner, M.: Scan2mesh: From unstructured range scans to 3d meshes. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Tatarchenko, M., Richter, S.R., Ranftl, R., Li, Z., Koltun, V., Brox, T.: What do single-view 3d reconstruction networks learn? In: Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Chen, X., Chen, B., Mitra, N.J.: Unpaired point cloud completion on real scans using adversarial training. In: International Conference on Learning Representations (ICLR) (2020)
2020
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Chibane, J., Alldieck, T., Pons-Moll, G.: Implicit functions in feature space for 3d shape reconstruction and completion. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
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Dai, A., Diller, C., Nießner, M.: Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
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Li, X., Wang, H., Yi, L., Guibas, L.J., Abbott, A.L., Song, S.: Category-level articulated object pose estimation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
2020
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Deng, C., Jiang, C., Qi, C.R., Yan, X., Zhou, Y., Guibas, L., Anguelov, D., et al.: Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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Geng, H., Li, Z., Geng, Y., Chen, J., Dong, H., Wang, H.: Partmanip: Learning cross-category generalizable part manipulation policy from point cloud observations. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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Geng, H., Xu, H., Zhao, C., Xu, C., Yi, L., Huang, S., Wang, H.: Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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Geng, Y., An, B., Geng, H., Chen, Y., Yang, Y., Dong, H.: End-to-end affordance learning for robotic manipulation. In: International Conference on Robotics and Automation (ICRA) (2023)
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Wu, R., Chen, X., Zhuang, Y., Chen, B.: Multimodal shape completion via conditional generative adversarial networks. In: European Conference on Computer Vision (ECCV) (2020)
2020
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Zhang, S., Zhang, Y., Ma, Q., Black, M.J., Tang, S.: Place: Proximity learning of articulation and contact in 3d environments. In: International Conference on 3D Vision (3DV) (2020)
2020
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Zhang, Y., Hassan, M., Neumann, H., Black, M.J., Tang, S.: Generating 3d people in scenes without people. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
2020
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2021
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Mezghanni, M., Boulkenafed, M., Lieutier, A., Ovsjanikov, M.: Physically-aware generative network for 3d shape modeling. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
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Mu, J., Qiu, W., Kortylewski, A., Yuille, A., Vasconcelos, N., Wang, X.: A-sdf: Learning disentangled signed distance functions for articulated shape representation. In: International Conference on Computer Vision (ICCV) (2021)
2021
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Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. In: International Conference on Learning Representations (ICLR) (2021)
2021
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Wang, J., Xu, H., Xu, J., Liu, S., Wang, X.: Synthesizing long-term 3d human motion and interaction in 3d scenes. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
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2023
Later among the works it cites.
Gong, R., Huang, J., Zhao, Y., Geng, H., Gao, X., Wu, Q., Ai, W., Zhou, Z., Terzopoulos, D., Zhu, S.C., et al.: Arnold: A benchmark for language-grounded task learning with continuous states in realistic 3d scenes. In: International Conference on Computer Vision (ICCV) (2023)
2023
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Huang, S., Wang, Z., Li, P., Jia, B., Liu, T., Zhu, Y., Liang, W., Zhu, S.C.: Diffusion-based generation, optimization, and planning in 3d scenes. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
Later among the works it cites.
2023
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Lin, C.H., Gao, J., Tang, L., Takikawa, T., Zeng, X., Huang, X., Kreis, K., Fidler, S., Liu, M.Y., Lin, T.Y.: Magic3d: High-resolution text-to-3d content creation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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Liu, G., Sun, Q., Huang, H., Ma, C., Guo, Y., Yi, L., Huang, H., Hu, R.: Semi-weakly supervised object kinematic motion prediction. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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Liu, M., Xu, C., Jin, H., Chen, L., Varma T, M., Xu, Z., Su, H.: One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization. In: Advances in Neural Information Processing Systems (NeurIPS) (2023)
2023
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Liu, R., Wu, R., Van Hoorick, B., Tokmakov, P., Zakharov, S., Vondrick, C.: Zero-1-to-3: Zero-shot one image to 3d object. In: International Conference on Computer Vision (ICCV) (2023)
2023
Later among the works it cites.
2023
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Xu, D., Jiang, Y., Wang, P., Fan, Z., Wang, Y., Wang, Z.: Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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Yuan, Y., Song, J., Iqbal, U., Vahdat, A., Kautz, J.: Physdiff: Physics-guided human motion diffusion model. In: International Conference on Computer Vision (ICCV) (2023)
2023
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Zhang, J., Wu, M., Dong, H.: Genpose: Generative category-level object pose estimation via diffusion models. In: Advances in Neural Information Processing Systems (NeurIPS) (2023)
2023
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Zhou, Z., Tulsiani, S.: Sparsefusion: Distilling view-conditioned diffusion for 3d reconstruction. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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Deng, C., Lei, J., Shen, W.B., Daniilidis, K., Guibas, L.J.: Banana: Banach fixed-point network for pointcloud segmentation with inter-part equivariance. In: Advances in Neural Information Processing Systems (NeurIPS) (2024)
2024
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Ding, Y., Geng, H., Xu, C., Fang, X., Zhang, J., Dai, Q., Wei, S., Zhang, Z., Wang, H.: Open6DOR: Benchmarking open-instruction 6-dof object rearrangement and a VLM-based approach. In: Robotics: Science and Systems (RSS) (2024)
2024
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Geng, H., Wei, S., Deng, C., Shen, B., Wang, H., Guibas, L.: Sage: Bridging semantic and actionable parts for generalizable articulated-object manipulation under language instructions. In: Robotics: Science and Systems (RSS) (2024)
2024
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2024
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Huang, Q.: Enhancing implicit shape generators using topological regularizations. In: Joint Mathematics Meetings (2024)
2024
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2024
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2024
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Liu, J., Tam, H.I.I., Mahdavi-Amiri, A., Savva, M.: Cage: Controllable articulation generation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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Yang, Y., Jia, B., Zhi, P., Huang, S.: Physcene: Physically interactable 3d scene synthesis for embodied ai. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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Yu, X., Zhang, J., Liu, H., Li, D., Geng, H., Wang, H., Ding, Y., Chen, J.: Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes. In: 2nd Workshop on Dexterous Manipulation: Design, Perception and Control (RSS) (2024)
2024
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