Fetching the paper…
Reading the bibliography…
We explore how to enable machines to model 3D shapes like human modelers using deep reinforcement learning (RL).
Raitt, B., Minter, G.: Digital sculpture techniques. Interactivity Magazine 4
2000
Earlier work this paper cites.
Abbeel, P., Ng, A.Y.: Apprenticeship learning via inverse reinforcement learning. In: Proceedings of the twenty-first international conference on Machine learning. p. 1. ACM (2004)
2004
Earlier work this paper cites.
Wu Leif Kobbelt, J.: Structure recovery via hybrid variational surface approximation. In: Computer Graphics Forum. vol. 24, pp. 277–284. Wiley Online Library (2005)
2005
Earlier work this paper cites.
Ziebart, B.D., Maas, A., Bagnell, J.A., Dey, A.K.: Maximum entropy inverse reinforcement learning (2008)
2008
Earlier work this paper cites.
Kalogerakis, E., Hertzmann, A., Singh, K.: Learning 3d mesh segmentation and labeling. In: ACM Transactions on Graphics (TOG). vol. 29, p. 102. ACM (2010)
2010
Earlier work this paper cites.
Ross, S., Bagnell, D.: Efficient reductions for imitation learning. In: Proceedings of the thirteenth international conference on artificial intelligence and statistics. pp. 661–668 (2010)
2010
Earlier work this paper cites.
Ross, S., Gordon, G., Bagnell, D.: A reduction of imitation learning and structured prediction to no-regret online learning. In: Proceedings of the fourteenth international conference on artificial intelligence and statistics. pp. 627–635 (2011)
2011
Earlier work this paper cites.
Teboul, O., Kokkinos, I., Simon, L., Koutsourakis, P., Paragios, N.: Shape grammar parsing via reinforcement learning. In: CVPR 2011. pp. 2273–2280. IEEE (2011)
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.
Ruiz-Montiel, M., Boned, J., Gavilanes, J., Jiménez, E., Mandow, L., PéRez-De-La-Cruz, J.L.: Design with shape grammars and reinforcement learning. Advanced Engineering Informatics 27
2013
Earlier work this paper cites.
Xie, N., Hachiya, H., Sugiyama, M.: Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting. IEICE TRANSACTIONS on Information and Systems 96
2013
Earlier work this paper cites.
2014
Earlier work this paper cites.
2015
Cited alongside, same era.
LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. nature 521
2015
Cited alongside, same era.
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G., et al.: Human-level control through deep reinforcement learning. Nature 518
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Tulsiani, S., Su, H., Guibas, L.J., Efros, A.A., Malik, J.: Learning shape abstractions by assembling volumetric primitives. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2635–2643 (2017)
2017
Later among the works it cites.
Zou, C., Yumer, E., Yang, J., Ceylan, D., Hoiem, D.: 3d-prnn: Generating shape primitives with recurrent neural networks. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 900–909 (2017)
2017
Later among the works it cites.
Ganin, Y., Kulkarni, T., Babuschkin, I., Eslami, S.A., Vinyals, O.: Synthesizing programs for images using reinforced adversarial learning. In: International Conference on Machine Learning. pp. 1666–1675 (2018)
2018
Later among the works it cites.
Hester, T., Vecerik, M., Pietquin, O., Lanctot, M., Schaul, T., Piot, B., Horgan, D., Quan, J., Sendonaris, A., Osband, I., et al.: Deep q-learning from demonstrations. In: Thirty-Second AAAI Conference on Artificial Intelligence (2018)
2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.: Mastering the game of go with deep neural networks and tree search. nature 529
2016
Cited alongside, same era.
Subramanian, K., Isbell Jr, C.L., Thomaz, A.L.: Exploration from demonstration for interactive reinforcement learning. In: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems. pp. 447–456. International Foundation for Autonomous Agents and Multiagent Systems (2016)
2016
Cited alongside, same era.
Van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double q-learning. In: Thirtieth AAAI conference on artificial intelligence (2016)
2016
Cited alongside, same era.
Wang, Z., Schaul, T., Hessel, M., Hasselt, H., Lanctot, M., Freitas, N.: Dueling network architectures for deep reinforcement learning. In: International Conference on Machine Learning. pp. 1995–2003 (2016)
2016
Cited alongside, same era.
2017
Cited alongside, same era.
Kalogerakis, E., Averkiou, M., Maji, S., Chaudhuri, S.: 3D shape segmentation with projective convolutional networks. In: Proc. IEEE Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Cited alongside, same era.
Li, J., Xu, K., Chaudhuri, S., Yumer, E., Zhang, H., Guibas, L.: Grass: Generative recursive autoencoders for shape structures. ACM Transactions on Graphics (TOG) 36
2017
Cited alongside, same era.
Later among the works it cites.
Riaz Muhammad, U., Yang, Y., Song, Y.Z., Xiang, T., Hospedales, T.M.: Learning deep sketch abstraction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 8014–8023 (2018)
2018
Later among the works it cites.
Sharma, G., Goyal, R., Liu, D., Kalogerakis, E., Maji, S.: Csgnet: Neural shape parser for constructive solid geometry. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5515–5523 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Huang, Z., Heng, W., Zhou, S.: Learning to paint with model-based deep reinforcement learning. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 8709–8718 (2019)
2019
Later among the works it cites.
Paschalidou, D., Ulusoy, A.O., Geiger, A.: Superquadrics revisited: Learning 3d shape parsing beyond cuboids. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 10344–10353 (2019)
2019
Later among the works it cites.
Sun, C., Zou, Q., Tong, X., Liu, Y.: Learning adaptive hierarchical cuboid abstractions of 3d shape collections. ACM Transactions on Graphics (SIGGRAPH Asia) 38
2019
Later among the works it cites.
Tian, Y., Luo, A., Sun, X., Ellis, K., Freeman, W.T., Tenenbaum, J.B., Wu, J.: Learning to infer and execute 3d shape programs. In: International Conference on Learning Representations (2019)
2019
Later among the works it cites.