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Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text into well-structured and textured indoor scenes at a house-scale.
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Yu, L.F., Yeung, S.K., Tang, C.K., Terzopoulos, D., Chan, T.F., Osher, S.J.: Make it home: automatic optimization of furniture arrangement. ACM Transactions on Graphics (TOG)-Proceedings of ACM SIGGRAPH 2011, v. 30,(4), July 2011, article no. 86 30
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Fu, Q., Chen, X., Wang, X., Wen, S., Zhou, B., Fu, H.: Adaptive synthesis of indoor scenes via activity-associated object relation graphs. ACM Transactions on Graphics (TOG) 36
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Qi, S., Zhu, Y., Huang, S., Jiang, C., Zhu, S.C.: Human-centric indoor scene synthesis using stochastic grammar. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5899–5908 (2018)
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Wang, K., Savva, M., Chang, A.X., Ritchie, D.: Deep convolutional priors for indoor scene synthesis. ACM Transactions on Graphics (TOG) 37
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Chen, K., Choy, C.B., Savva, M., Chang, A.X., Funkhouser, T., Savarese, S.: Text2shape: Generating shapes from natural language by learning joint embeddings. In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III 14. pp. 100–116. Springer (2019)
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Li, M., Patil, A.G., Xu, K., Chaudhuri, S., Khan, O., Shamir, A., Tu, C., Chen, B., Cohen-Or, D., Zhang, H.: Grains: Generative recursive autoencoders for indoor scenes. ACM Transactions on Graphics (TOG) 38
2019
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Wang, K., Lin, Y.A., Weissmann, B., Savva, M., Chang, A.X., Ritchie, D.: Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks. ACM Transactions on Graphics (TOG) 38
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Wu, W., Fu, X.M., Tang, R., Wang, Y., Qi, Y.H., Liu, L.: Data-driven interior plan generation for residential buildings. ACM Transactions on Graphics (SIGGRAPH Asia) 38
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Hu, R., Huang, Z., Tang, Y., Van Kaick, O., Zhang, H., Huang, H.: Graph2plan: Learning floorplan generation from layout graphs. ACM Transactions on Graphics (TOG) 39
2020
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Nauata, N., Chang, K.H., Cheng, C.Y., Mori, G., Furukawa, Y.: House-gan: Relational generative adversarial networks for graph-constrained house layout generation. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16. pp. 162–177. Springer (2020)
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Purkait, P., Zach, C., Reid, I.: Sg-vae: Scene grammar variational autoencoder to generate new indoor scenes. In: European Conference on Computer Vision. pp. 155–171. Springer (2020)
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Zhang, Z., Yang, Z., Ma, C., Luo, L., Huth, A., Vouga, E., Huang, Q.: Deep generative modeling for scene synthesis via hybrid representations. ACM Transactions on Graphics (TOG) 39
2020
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Fu, H., Cai, B., Gao, L., Zhang, L.X., Wang, J., Li, C., Zeng, Q., Sun, C., Jia, R., Zhao, B., et al.: 3d-front: 3d furnished rooms with layouts and semantics. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 10933–10942 (2021)
2021
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Fu, H., Jia, R., Gao, L., Gong, M., Zhao, B., Maybank, S., Tao, D.: 3d-future: 3d furniture shape with texture. International Journal of Computer Vision pp. 1–25 (2021)
2021
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Nauata, N., Hosseini, S., Chang, K.H., Chu, H., Cheng, C.Y., Furukawa, Y.: House-gan++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13632–13641 (2021)
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Paschalidou, D., Kar, A., Shugrina, M., Kreis, K., Geiger, A., Fidler, S.: Atiss: Autoregressive transformers for indoor scene synthesis. Advances in Neural Information Processing Systems 34
2021
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Paschalidou, D., Kar, A., Shugrina, M., Kreis, K., Geiger, A., Fidler, S.: Atiss: Autoregressive transformers for indoor scene synthesis. Advances in Neural Information Processing Systems 34
2021
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Deitke, M., Schwenk, D., Salvador, J., Weihs, L., Michel, O., VanderBilt, E., Schmidt, L., Ehsani, K., Kembhavi, A., Farhadi, A.: Objaverse: A universe of annotated 3d objects. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13142–13153 (2023)
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)
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Wang, X., Yeshwanth, C., Nießner, M.: Sceneformer: Indoor scene generation with transformers. In: 2021 International Conference on 3D Vision (3DV). pp. 106–115. IEEE (2021)
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Yang, M.J., Guo, Y.X., Zhou, B., Tong, X.: Indoor scene generation from a collection of semantic-segmented depth images. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15203–15212 (2021)
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Bisht, S., Shekhawat, K., Upasani, N., Jain, R.N., Tiwaskar, R.J., Hebbar, C.: Transforming an adjacency graph into dimensioned floorplan layouts. In: Computer Graphics Forum. vol. 41, pp. 5–22. Wiley Online Library (2022)
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Chen, Z., Wang, G., Liu, Z.: Text2light: Zero-shot text-driven hdr panorama generation. ACM Transactions on Graphics (TOG) 41
2022
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Deitke, M., VanderBilt, E., Herrasti, A., Weihs, L., Ehsani, K., Salvador, J., Han, W., Kolve, E., Kembhavi, A., Mottaghi, R.: Procthor: Large-scale embodied ai using procedural generation. Advances in Neural Information Processing Systems 35
2022
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Fu, R., Zhan, X., Chen, Y., Ritchie, D., Sridhar, S.: Shapecrafter: A recursive text-conditioned 3d shape generation model. Advances in Neural Information Processing Systems 35
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2023
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Hwang, I., Kim, H., Kim, Y.M.: Text2scene: Text-driven indoor scene stylization with part-aware details. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1890–1899 (2023)
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