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Interior design allows us to be who we are and live how we want - each design is as unique as our distinct personality.
Bradley, R.A., Terry, M.E.: Rank analysis of incomplete block designs: I. the method of paired comparisons. Biometrika 39
1952
Earlier work this paper cites.
Xu, K., Stewart, J., Fiume, E.: Constraint-based automatic placement for scene composition. In: Graphics Interface. vol. 2, pp. 25–34 (2002)
2002
Earlier work this paper cites.
Merrell, P., Schkufza, E., Li, Z., Agrawala, M., Koltun, V.: Interactive furniture layout using interior design guidelines. ACM transactions on graphics (TOG) 30
2011
Earlier work this paper cites.
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., Xiao, J.: 3d shapenets: A deep representation for volumetric shapes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1912–1920 (2015)
2015
Earlier work this paper cites.
Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., Funkhouser, T.: Semantic scene completion from a single depth image. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1746–1754 (2017)
2017
Earlier work this paper cites.
Blender Online Community: Blender - a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam (2018), http://www.blender.org
2018
Earlier work this paper cites.
Ching, F.D., Binggeli, C.: Interior design illustrated. John Wiley & Sons (2018)
2018
Earlier work this paper cites.
Li, W., Saeedi, S., McCormac, J., Clark, R., Tzoumanikas, D., Ye, Q., Huang, Y., Tang, R., Leutenegger, S.: InteriorNet: Mega-scale multi-sensor photo-realistic indoor scenes dataset. In: British Machine Vision Conference (BMVC) (2018)
2018
Earlier work this paper cites.
Qi, S., Zhu, Y., Huang, S., Jiang, C., Zhu, S.C.: Human-centric indoor scene synthesis using stochastic grammar. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5899–5908 (2018)
2018
Earlier work this paper cites.
Weiss, T., Litteneker, A., Duncan, N., Nakada, M., Jiang, C., Yu, L.F., Terzopoulos, D.: Fast and scalable position-based layout synthesis. IEEE Transactions on Visualization and Computer Graphics 25
2018
Earlier work this paper cites.
Armeni, I., He, Z.Y., Gwak, J., Zamir, A.R., Fischer, M., Malik, J., Savarese, S.: 3d scene graph: A structure for unified semantics, 3d space, and camera. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 5664–5673 (2019)
2019
Earlier work this paper cites.
Kar, A., Prakash, A., Liu, M.Y., Cameracci, E., Yuan, J., Rusiniak, M., Acuna, D., Torralba, A., Fidler, S.: Meta-Sim: Learning to generate synthetic datasets. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 4551–4560 (2019)
2019
Earlier work this paper cites.
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
2019
Earlier work this paper cites.
Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems (NeurIPS) 33
2020
Earlier work this paper cites.
Purkait, P., Zach, C., Reid, I.: SG-VAE: Scene grammar variational autoencoder to generate new indoor scenes. In: European Conference on Computer Vision (ECCV). pp. 155–171. Springer (2020)
2020
Earlier work this paper cites.
Zheng, J., Zhang, J., Li, J., Tang, R., Gao, S., Zhou, Z.: Structured3D: A large photo-realistic dataset for structured 3d modeling. In: European Conference on Computer Vision (ECCV) (2020)
2020
Earlier work this paper cites.
Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. Advances in Neural Information Processing Systems (NeurIPS) 34
2021
Earlier work this paper cites.
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: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 10933–10942 (2021)
2021
Earlier work this paper cites.
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 129
2021
Earlier work this paper cites.
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 (NeurIPS) 34
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
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)
2021
Cited alongside, same era.
Bautista, M.A., Guo, P., Abnar, S., Talbott, W., Toshev, A., Chen, Z., Dinh, L., Zhai, S., Goh, H., Ulbricht, D., et al.: GAUDI: A neural architect for immersive 3d scene generation. Advances in Neural Information Processing Systems (NeurIPS) 35
2022
Cited alongside, same era.
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 (NeurIPS) 35
2022
Cited alongside, same era.
Lee, K.T., Im, J.B., Park, S.J., Kim, J.H.: Conceptual framework to support personalized indoor space design decision-making: A systematic literature review. Buildings 12
2022
Cited alongside, same era.
2023
Later among the works it cites.
Song, C.H., Wu, J., Washington, C., Sadler, B.M., Chao, W.L., Su, Y.: LLM-Planner: Few-shot grounded planning for embodied agents with large language models. In: IEEE/CVF International Conference on Computer Vision (CVPR). pp. 2998–3009 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Tang, S., Zhang, F., Chen, J., Wang, P., Furukawa, Y.: MVDiffusion: Enabling holistic multi-view image generation with correspondence-aware diffusion. arXiv (2023)
2023
Later among the works it cites.
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2022
Cited alongside, same era.
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 10684–10695 (2022)
2022
Cited alongside, same era.
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q.V., Zhou, D., et al.: Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35
2022
Cited alongside, same era.
2023
Cited alongside, same era.
Cai, S., Chan, E.R., Peng, S., Shahbazi, M., Obukhov, A., Van Gool, L., Wetzstein, G.: Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models. In: ICCV (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
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: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 13142–13153 (2023)
2023
Cited alongside, same era.
Tseng, H.Y., Li, Q., Kim, C., Alsisan, S., Huang, J.B., Kopf, J.: Consistent view synthesis with pose-guided diffusion models. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 16773–16783 (2023)
2023
Later among the works it cites.
Wang, T., Kanakis, M., Schindler, K., Van Gool, L., Obukhov, A.: Breathing new life into 3d assets with generative repainting. In: Proceedings of the British Machine Vision Conference (BMVC). BMVA Press (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Wei, Q.A., Ding, S., Park, J.J., Sajnani, R., Poulenard, A., Sridhar, S., Guibas, L.: LEGO-Net: Learning regular rearrangements of objects in rooms. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 19037–19047 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Zhong, S., Yin, B., Hu, X.: Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 3836–3847 (2023)
2023
Later among the works it cites.
Fridman, R., Abecasis, A., Kasten, Y., Dekel, T.: SceneScape: Text-driven consistent scene generation. Advances in Neural Information Processing Systems (NeurIPS) 36
2024
Closest in time.
Ke, B., Obukhov, A., Huang, S., Metzger, N., Daudt, R.C., Schindler, K.: Repurposing diffusion-based image generators for monocular depth estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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2024
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Liu, M., Shi, R., Kuang, K., Zhu, Y., Li, X., Han, S., Cai, H., Porikli, F., Su, H.: OpenShape: Scaling up 3d shape representation towards open-world understanding. Advances in Neural Information Processing Systems (NeurIPS) 36
2024
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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. Advances in Neural Information Processing Systems (NeurIPS) 36
2024
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Subjectify.us: Crowd-sourced subjective quality evaluation platform (Accessed: Jan 2024)
2024
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2024
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Zhai, G., Örnek, E.P., Wu, S.C., Di, Y., Tombari, F., Navab, N., Busam, B.: CommonScenes: Generating commonsense 3d indoor scenes with scene graphs. Advances in Neural Information Processing Systems (NeurIPS) 36
2024
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