Fetching the paper…
Reading the bibliography…
We present the Shape Part Slot Machine, a new method for assembling novel 3D shapes from existing parts by performing contact-based reasoning.
Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: kdd. vol. 96, pp. 226–231 (1996)
1996
Earlier work this paper cites.
Funkhouser, T., Kazhdan, M., Shilane, P., Min, P., Kiefer, W., Tal, A., Rusinkiewicz, S., Dobkin, D.: Modeling by example. In: ACM SIGGRAPH 2004 Papers (2004)
2004
Earlier work this paper cites.
Kreavoy, V., Julius, D., Sheffer, A.: Model composition from interchangeable components. In: Proceedings of the 15th Pacific Conference on Computer Graphics and Applications. p. 129–138. PG ’07, IEEE Computer Society, USA (2007). https://doi.org/10.1109/PG.2007.43, https://doi.org/10.1109/PG.2007.43
2007
Earlier work this paper cites.
Chaudhuri, S., Kalogerakis, E., Guibas, L., Koltun, V.: Probabilistic reasoning for assembly-based 3d modeling. ACM Trans. Graph. 30
2011
Earlier work this paper cites.
Wang, Y., Xu, K., Li, J., Zhang, H., Shamir, A., Liu, L., Cheng, Z., Xiong, Y.: Symmetry hierarchy of man-made objects. In: Computer graphics forum. vol. 30, pp. 287–296. Wiley Online Library (2011)
2011
Earlier work this paper cites.
Jain, A., Thormählen, T., Ritschel, T., Seidel, H.P.: Exploring shape variations by 3d-model decomposition and part-based recombination. Comput. Graph. Forum 31
2012
Earlier work this paper cites.
Kalogerakis, E., Chaudhuri, S., Koller, D., Koltun, V.: A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31
2012
Earlier work this paper cites.
Shen, C.H., Fu, H., Chen, K., Hu, S.M.: Structure recovery by part assembly. ACM Trans. Graph. 31
2012
Earlier work this paper cites.
Xu, K., Zhang, H., Cohen-Or, D., Chen, B.: Fit and diverse: Set evolution for inspiring 3d shape galleries. ACM Transactions on Graphics, (Proc. of SIGGRAPH 2012) 31
2012
Earlier work this paper cites.
Chaudhuri, S., Kalogerakis, E., Giguere, S., Funkhouser, T.: AttribIt: Content creation with semantic attributes. ACM Symposium on User Interface Software and Technology (UIST) (Oct 2013)
2013
Earlier work this paper cites.
Xie, X., Xu, K., Mitra, N.J., Cohen-Or, D., Gong, W., Su, Q., Chen, B.: Sketch-to-design: Context-based part assembly. Computer Graphics Forum xx
2013
Cited alongside, same era.
Averkiou, M., Kim, V., Zheng, Y., Mitra, N.J.: Shapesynth: Parameterizing model collections for coupled shape exploration and synthesis. Computer Graphics Forum (Special issue of Eurographics 2014) (2014)
2014
Cited alongside, same era.
Kingma, D.P., Ba, J.: Adam: A Method for Stochastic Optimization. In: ICLR 2015 (2015)
2015
Cited alongside, same era.
2017
Cited alongside, same era.
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. In: NeurIPS (2017)
Mo, K., Guerrero, P., Yi, L., Su, H., Wonka, P., Mitra, N., Guibas, L.: StructureNet: Hierarchical graph networks for 3D shape generation. In: SIGGRAPH Asia (2019)
2019
Later among the works it cites.
Mo, K., Zhu, S., Chang, A.X., Yi, L., Tripathi, S., Guibas, L.J., Su, H.: Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 909–918 (2019)
2019
Later among the works it cites.
Schor, N., Katzir, O., Zhang, H., Cohen-Or, D.: Componet: Learning to generate the unseen by part synthesis and composition. In: The IEEE International Conference on Computer Vision (ICCV) (October 2019)
2019
Later among the works it cites.
Wu, Z., Wang, X., Lin, D., Lischinski, D., Cohen-Or, D., Huang, H.: Sagnet: Structure-aware generative network for 3d-shape modeling. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2019) 38
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
Li, J., Xu, K., Chaudhuri, S., Yumer, E., Zhang, H., Guibas, L.: GRASS: Generative Recursive Autoencoders for Shape Structures. In: SIGGRAPH 2017 (2017)
2017
Cited alongside, same era.
Sung, M., Su, H., Kim, V.G., Chaudhuri, S., Guibas, L.: ComplementMe: Weakly-supervised component suggestions for 3D modeling. ACM Transactions on Graphics (TOG) 36
2017
Cited alongside, same era.
Zou, C., Yumer, E., Yang, J., Ceylan, D., Hoiem, D.: 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. In: ICCV 2017 (2017)
2017
Cited alongside, same era.
Wang, H., Schor, N., Hu, R., Huang, H., Cohen-Or, D., Huang, H.: Global-to-local generative model for 3d shapes. ACM Transactions on Graphics (Proc. SIGGRAPH ASIA) 37
2018
Cited alongside, same era.
Gao, L., Yang, J., Wu, T., Yuan, Y.J., Fu, H., Lai, Y.K., Zhang, H.R.: Sdm-net: Deep generative network for structured deformable mesh. In: SIGGRAPH Asia (2019)
2019
Cited alongside, same era.
Huang, J., Zhan, G., Fan, Q., Mo, K., Shao, L., Chen, B., Guibas, L., Dong, H.: Generative 3d part assembly via dynamic graph learning. In: The IEEE Conference on Neural Information Processing Systems (NeurIPS) (2020)
2020
Later among the works it cites.
Jones, R.K., Barton, T., Xu, X., Wang, K., Jiang, E., Guerrero, P., Mitra, N.J., Ritchie, D.: Shapeassembly: Learning to generate programs for 3d shape structure synthesis. ACM Transactions on Graphics (TOG), SIGGRAPH Asia 2020 39
2020
Later among the works it cites.
Wu, R., Zhuang, Y., Xu, K., Zhang, H., Chen, B.: Pq-net: A generative part seq2seq network for 3d shapes. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
2020
Later among the works it cites.
Yang, J., Mo, K., Lai, Y.K., Guibas, L.J., Gao, L.: Dsm-net: Disentangled structured mesh net for controllable generation of fine geometry (2020)
2020
Later among the works it cites.
Yin, K., Chen, Z., Chaudhuri, S., Fisher, M., Kim, V., Zhang, H.: Coalesce: Component assembly by learning to synthesize connections. In: Proc. of 3DV (2020)
2020
Later among the works it cites.
Jones, R.K., Charatan, D., Guerrero, P., Mitra, N.J., Ritchie, D.: Shapemod: Macro operation discovery for 3d shape programs. In: SIGGRAPH 2021 (2021)
2021
Closest in time.